Research is what I am doing when I don’t know what I am doing — Werner von Braun

Publications

  • J. Błażewicz, E.K. Burke, G. Kendall, W. Mruczkiewicz, C. Oğuz and A. Świercz, “A Hyper-Heuristic Approach to Sequencing by Hybridization of DNA Sequences”, forthcoming in Annals of Operations Research, 2012.
  • E.B. Edis and C. Oğuz, “Parallel Machine Scheduling with Flexible Resources”, Computers and Industrial Engineering, Vol.639, No.2, pp:433-447, 2012.
  • K. Katterbauer, C. Oğuz and F.S. Salman, “Hybrid Adaptive Large Neighborhood Search for the Optimal Statistic Median Problem”, Computers and Operations Research, Vol.39, pp:2679-2687, 2012.
  • G. Kirlik and C. Oğuz, “A Variable Neighborhood Search for Minimizing Tardiness with Sequence Dependent Setup Times on a Single Machine”, Computers and Operations Research, Vol.39, pp:1506-1520, 2012.
  • B. Cesaret, C. Oğuz and F.S. Salman, “A Tabu Search Algorithm for Order Acceptance and Scheduling”, Computers and Operations Research, Vol.39, pp:1197-1205, 2012.
  • J. Blazewicz, T.C.E. Cheng, M. Mahowiak and C. Oğuz, “Berth and Quay Crane Allocation: A Moldable Task Scheduling Model”, Journal of Operational Research Society, Vol.62, No.7, pp:1189-1197, 2011.
  • E.B. Edis, and C. Oğuz, “Parallel Machine Scheduling with Additional Resources: A Lagrangian-Based Constraint Programming Approach”, Lecture Notes in Computer Science, Vol.6697, pp:92-98, 2011.
  • Ş. Atalay, M. Çanci, G. Kaya, C. Oğuz and M. Türkay, “Intermodal Transportation in Istanbul via Marmaray”, IBM Journal of Research and Development, Vol.54, No.6, pp:9:1-9:10, 2010.
  • C. Oğuz, F.S. Salman and Z.B. Yalçın, “Order Acceptance and Scheduling Decisions in Make-to-Order Systems”, International Journal of Production Economics, Vol.125, No.1, pp:200-211, 2010.
  • W.K. Yeung, C. Oğuz and T.C.E. Cheng, “Two-machine Flow Shop Scheduling with Common Due Window to Minimize Weighted Number of Early and Tardy Jobs”, Naval Research Logistics, Vol.59, No.7, pp:593-599, 2009.
  • A. Jouglet, C. Oğuz and M. Sevaux, “Hybrid Flow-shop: A Memetic Algorithm Using Constraint-based Scheduling for Efficient Search”, Journal of Mathematical Modelling and Algorithms, Vol.8, No.3, pp:271-292, 2009.
  • P. Hansen, C. Oğuz and N. Mladenović , “Variable Neighborhood Search for Minimum Cost Berth Allocation”, European Journal of Operational Research, Vol.191, No.3, pp:636-649, 2008.
  • A. Janiak, E. Kozan, M. Lichtenstein and C. Oğuz, “Metaheuristic Approaches to the Hybrid Flow Shop Scheduling Problem with a Cost-related Criterion”, International Journal of Production Economics, Vol.105, pp:407-424, 2007.
  • J. Blazewicz, B. Dziurdza, W. T. Markiewicz and C. Oguz, “On the Computational Complexity of Designing DNA Randomizations in a Combinatorial Protein Experiment”, Foundations of Computing and Decision Sciences, Vol.32, No.3, pp:185-197, 2007.
  • J. Błażewicz, C. Oğuz, A. Świercz and J. Węglarz, “DNA Sequencing by Hybridization via Genetic Search”, Operations Research, Vol.54, pp:1185-1192, 2006.
  • J. Błażewicz, F. Glover, M. Kasprzak, W. T. Markiewicz, C. Oğuz, D. Rebholz-Schuhmann and A. Świercz, “Dealing with Repetitions in Sequencing by Hybridization”, Computational Biology and Chemistry, Vol.30, pp:313-394, 2006.
  • J. Błażewicz, B. Dziurdza, W. T. Markiewicz and C. Oğuz, “The Parallel Genetic Algorithm for Designing DNA Randomizations in a Combinatorial Protein Experiment”, Lecture Notes in Computer Science, Vol.3911, pp:1097-1105, 2006.
  • P. Brucker, S. Knust and C. Oğuz, “Scheduling Chains with Identical Jobs and Constant Delays on a Single Machine”, Mathematical Methods of Operations Research, Vol.63, No.1, pp:63-75, 2006.
  • Y. Zinder, V.H. Do and C. Oğuz, “Computational Complexity of Some Scheduling Problems with Multiprocessor Tasks”, Discrete Optimization, Vol.2, No.4, pp:391-408, 2005.
  • M.F. Ercan and C. Oğuz, “Performance of Local Search Heuristics on Scheduling a Class of Pipelined Multiprocessor Tasks”, Computers and Electrical Engineering, Vol.31, No.8, pp:537-555, 2005.
  • C. Oğuz and M.F. Ercan, “A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks”, Journal of Scheduling, Vol.8, No.4, pp:323-351, 2005.
  • W.K. Yeung, C. Oğuz and T.C.E. Cheng, “Two-stage Flowshop Earliness and Tardiness  Machine Scheduling Involving a Common Due Window”, International Journal of Production Economics, Vol.90, pp:421-434, 2004.
  • C. Oğuz, Y. Zinder, V.H. Do, A. Janiak and M. Lichtenstein, “Hybrid Flow-shop Scheduling Problems with Multiprocessor Task Systems”, European Journal of Operational Research, Vol.152, pp:115-131, 2004.
  • C. Oğuz, Y.F. Fung, M.F. Ercan and X.T. Qi, “Parallel Genetic Algorithm for a Flow-shop Problem with Multiprocessor Tasks”, Lecture Notes in Computer Science, Vol.2667, pp:987-997, 2003.
  • C. Oğuz, M.F. Ercan, T.C.E. Cheng and Y.F. Fung, “Heuristic Algorithms for Multiprocessor Task Scheduling in a Two-stage Hybrid Flow-shop”, European Journal of Operational Research, Vo.149, pp:390-403, 2003. (You can reach the data set from here)
  • W.K. Yeung, C. Oğuz and T.C.E. Cheng, “Minimizing Weighted Number of Early and Tardy Jobs with a Common Due Window Location Penalty”, Annals of Operations Research, Vol.108, pp:33-54, 2001.
  • M.F. Ercan, C. Oğuz and Y.F. Fung, “Performance Evaluation of Heuristics for Scheduling Pipelined Multiprocessor Tasks”, Lecture Notes in Computer Science, Vol.2073, pp:61-70, 2001.
  • M.F. Ercan, C. Oğuz and Y.F. Fung, “Scheduling Image Processing Tasks in A Multi-layer System”, Computers and Electrical Engineering, Vol.27, No.6, pp:429-443, 2001.
  • W.K. Yeung, C. Oğuz and T.C.E. Cheng, “Single Machine Scheduling with a Common Due Window”, Computers and Operations Research, Vol.28, No.2, pp:157-175, 2001.
  • M.F. Ercan, C. Oğuz and Y.-F. Fung, “Job Scheduling in a Multi-layer Vision System”, Lecture Notes in Computer Science of Springer-Verlag, Vol.1685, pp:317-321, 1999.
  • C. Oğuz, B.M.T. Lin and T.C.E. Cheng, “Two-stage Flowshop Scheduling with a Common Second-stage Machine”, Computers and Operations Research, Vol.24, No.12, pp:1169-1174, 1997.
  • T.C.E. Cheng, C. Oğuz and X.D. Qi, “Due-date Assignment and Single Machine Scheduling with Compressible Processing Times”, International Journal of Production Economics, Vol.43, pp:107-113, 1996.
  • C. Oğuz and C. Dincer, “Single Machine Earliness-tardiness Scheduling Problems Using the Equal-slack Rule”, Journal of Operational Research Society, Vol.45, No.5, pp:589-594, 1994.
  • T.C.E Cheng and C. Oğuz, “Minimizing Total Penalty for the Single-machine Due-date Assignment and Sequencing Problem”, Asia-Pacific Journal of Operational Research, Vol.11, pp:19-30, 1994.
  • T.C.E. Cheng, Z.-L. Chen and C. Oğuz, “One-machine Batching and Sequencing of Multiple-type Items”, Computers and Operations Research, Vol.21, No.7, pp:717-721, 1994.
  • C. Oğuz and C. Dincer, “Incorporating Just-in-time into a Decision Support System Environment”, European Journal of Operational Research, Vol.55, No.3, pp:344-356, 1991.
  • F.C. Cetinkaya, S. Soysal and C. Oguz, “Scheduling in a Manufacturing Cell with Two Dedicated Flow Lines Having a Common Stage”, under revision, 2010.
  • E. Rodoslu and C. Oğuz, “A Heuristic Algorithm for the Lot Streaming Problem in Multi-Product Flow Shops with Unit and Equal Sublots”, Proceedings of the 13th International Conference on Project Management and Scheduling, pp:258-261, 2012.
  • F. Virdil and C. Oğuz, “Heuristic Approaches to Minimize the Number of Rehandlings for Export Containers”, in Maritime Logistics in the Global Economy, T. Blecker, C. Jahn, W. Kersten (Eds.), pp:95-108, 2011.
  • B. Cesaret, C. Oğuz and F.S. Salman, “A Tabu Search Algorithm for Order Acceptance and Scheduling”, Proceedings of Twelfth International Workshop on Project Management and Scheduling, pp:141-144, 2010.
  • C. Oğuz and O. Narin, “Solving Berth Allocation Problem with Column Generation”, Proceedings of the 4th Multidisciplinary International Conference on Scheduling: Theory and Application, pp:744-747, 2009.
  • J. Blazewicz, M. Mahowiak and C. Oğuz, “Approximation Algorithm for Berth and Quay Crane Allocation Problem with Bounds”, Proceedings of the 4th Multidisciplinary International Conference on Scheduling: Theory and Application, pp:748-751, 2009.
  • Z. Bilginturk, C. Oğuz and F.S. Salman, “Order Acceptance and Scheduling Decisions in Make-to-Order Systems”, Proceedings of the 3rd Multidisciplinary International Conference on Scheduling: Theory and Application, pp:80-87, 2007.
  • M. Mahowiak, J. Blazewicz and C. Oğuz, “Quay Cranes Allocation as a Moldable Task Scheduling Problem”, Proceedings of Tenth International Workshop on Project Management and Scheduling, pp:243-247, 2006.
  • C. Oğuz and X. Qi, “Preemptive Scheduling Multiprocessor Tasks to Minimize Total Weighted Completion Time on Two Dedicated Processors”, Proceedings of Tenth International Workshop on Project Management and Scheduling, pp:270-274, 2006.
  •  P. Hansen, N. Mladenović and C. Oğuz, “Variable Neighborhood Search for Minimum Cost Berth Allocation”, Proceedings of the 18th Mini EURO Conference on VNS, 10 pages, 2005.
  • C. Oğuz and Eda Yücel, A Branch-and-bound Algorithm for Single Machine Total Tardiness problem with Release Dates, Proceedings of the 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications, pp:162-168, 2005.
  • A. Janiak, M. Lichtenstein and C. Oğuz, “Scheduling multiprocessor tasks in the hybrid flow shop”, S.Domek, R. Kaszynski (eds),  Proceedings of the 10th IEEE International Conference on Methods and Models in Automation and Robotics, Vol.2., pp:1279-1283, 2004.
  • P. Brucker, S. Knust and C. Oğuz, “Scheduling Chains with Identical Jobs and Constant Delays on a Single Machine”, Proceedings of Ninth International Workshop on Project Management and Scheduling, pp:119-122, 2004.
  • C. Oğuz, J. Błażewicz, T.C.E. Cheng and M. Machowiak, “Berth Allocation as a Moldable Task Scheduling Problem”, Proceedings of Ninth International Workshop on Project Management and Scheduling, pp:201-205, 2004.
  • C. Oğuz and L. Tang, “A Lagrangian Relaxation Method for Hybrid Flow-shop Scheduling with Multiprocessor Tasks to Minimize Total Weighted Completion Time”, Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications, pp:638-653, 2003.
  • C. Oğuz and M.F. Ercan, “A Comparison of Local Search Algorithms for Scheduling Multiprocessor Tasks”, Proceedings of Sixth Workshop on Models and Algorithms for Planning and Scheduling Problems, pp:86-87, 2003.
  • G. Yang, Z. Wu and C. Oğuz, “A Branch and Bound Approach for Earliness and Tardiness Penalty Problem with Distinct Due Dates”, Proceedings of the 4th World Congress on Intelligent Control and Automation, pp:371-375, 2002.
  • C. Oğuz and B. Cheung, “A Genetic Algorithm for Flow-shop Scheduling Problems with Multiprocessor Tasks”, Proceedings of Eighth International Workshop on Project Management and Scheduling, pp:282-287, 2002.
  • C. Oğuz, A. Janiak and M. Lichtenstein, “Metaheuristic Algorithms for Hybrid Flow-shop Scheduling Problem with Multiprocessor Tasks”, Proceedings of 4th Metaheuristics International Conference, pp:477-481, 2001.
  • M.A. Lichtenstein, C. Oğuz, V.H. Do and Y. Zinder, “Deterministic Scheduling Problems with Multiprocessor Tasks: NP-hardness Results, Polynomially Solvable Cases and Approximation Algorithms”, Proceedings of Fifth Workshop on Models and Algorithms for Planning and Scheduling Problems, pp:95-96, 2001.
  • C. Oğuz and Z-G. Hou, “A Heuristic Algorithm for Scheduling Multiprocessor Tasks with Precedence Constraints”, Proceedings of Fifth Workshop on Models and Algorithms for Planning and Scheduling Problems, pp:109-110, 2001.
  • C. Oğuz, M.F. Ercan, T.C.E. Cheng and Y.F. Fung, “Heuristic Algorithms for Multiprocessor Task Scheduling in Flow-shops”, Proceedings of Seventh International Workshop on Project Management and Scheduling, pp:227-229, 2000.
  • C. Oğuz, X.T. Qi and Y.F. Fung, “Two Stage Flow Shop Scheduling Problem with Multiprocessor Tasks at the First Stage”, Operations Research Proceedings 1998, Springer-Verlag, pp:366-375, 1998.
  • C. Oğuz, X.T. Qi and Y.F. Fung, “Hybrid Flow Shop Scheduling with Unit Processing Time Multiprocessor Tasks”, Proceedings of IEEE International Conference on Intelligent Engineering Systems (INES’98), pp:309-311, 1998.
  • M.A. Shaffer, T. Lau, C. Oğuz, J.R.W. Joplin and M.P. Bell, “Job-related Attitudes, Cognitions and Experiences: A Comparative Analysis of Female Employees in the United States, Hong Kong, and the People’s Republic of China”, Proceedings of the 3rd International Conference on Management (ICM’98), #R323 (21 pages), 1998.
  • C. Oğuz, M.F. Ercan and Y.F. Fung, “Heuristic Algorithms for Scheduling Multi Layer Computer Systems”, Proceedings of IEEE First International Conference on Intelligent Processing Systems (ICIPS’97), pp:1347-1350, 1997.

Presentations

  • C. Oğuz and E.B. Edis, “A Constraint Programming Approach for Order Acceptance and Scheduling Problem”, OR53, Nottingham, UK, September 2011.
  • C. Oğuz, “Metaheuristic Approaches to Scheduling Problems”, Çizelgeleme Kampı, Yalova, Turkey, September 2011 (invited lecture).
  • G. Kirlik and C. Oğuz, “A Variable Neighborhood Search for Minimizing Total Weighted Tradiness with Sequence Dependent Setup Times on a Single Machine”, New Challenges in Scheduling Theory, Frejus, France, September 2010 (invited).
  • C. Oğuz, “Order Acceptance and Scheduling Decisions in Make-to-Order Systems”, Invited speaker, Institute of Computing Science, Poznan University of Technology, Poznan, Poland, June 2008.
  • C. Oğuz, “Order Acceptance and Scheduling Decisions in Make-to-Order Systems”, Scheduling Algorithms for New Emerging Applications, Marseille, France, May 2008 (invited).
  • C. Oğuz, “Solving Difficult Optimization Problems via Metaheuristics”, Invited speaker, Department of Industrial Engineering, Bilkent University, Ankara, Turkey, November 2007.
  • Z. Bilginturk, C. Oğuz and S. Salman, “Order Acceptance and Scheduling Decisions in Make-to-Order Systems”, 3rd Multidisciplinary International Conference on Scheduling: Theory and Applications, Paris, France, August 2007.
  • Z. Bilginturk, C. Oğuz and S. Salman, “A Simulated Annealing Algorithm for Order Selection and Scheduling Problem in a Make-to-order System”, EURO XXII Conference, Prague, Czech Republic, July 2007 (invited).
  • A. Swiercz, J. Blazewicz, F. Glover, M. Kasprzak, W.T. Markiewicz, C. Oğuz and D. Rebholz-Schuhmann, “Dealing with Repetitions in Sequencing by Hybridization”, EURO XXII Conference, Prague, Czech Republic, July 2007 (invited).
  • C. Oğuz and S. Sonuc, “Finding 2-D Minimum Free Energy Configurations of Proteins in HP-Model”, EURO XXII Conference, Prague, Czech Republic, July 2007 (invited).
  • Z. Bilginturk, C. Oğuz and S. Salman, “Order Acceptance and Scheduling in Make-to-Order Systems with Sequence Dependent Setups and Deadlines”, Eighth Workshop on Models and Algorithms for Planning and Scheduling Problems, Istanbul, Turkey, July 2007.
  • C. Oğuz, “Genetic Algorithm for DNA Sequencingby Hybridization”, Invited speaker, Department of Industrial Engineering, Middle East Technical University, Ankara, Turkey, March 2007.
  • C. Oğuz, “Metaheuristic Approaches for Protein Structure Prediction”, EURO XXI Conference, Reykjavik, Iceland July, 2006 (invited).
  • C. Oğuz and X. Qi, “Scheduling Preemptive Multiprocessor Tasks to Minimize Total Weighted Completion Time on Two Dedicated Processors”, INFORMS International Meeting, Hong Kong SAR, June 2006 (invited).
  • C. Oğuz and X. Qi, “Minimizing Total Weighted Completion Time on Two Dedicated Processors with Preemptive Multiprocessor Tasks”, Workshop on Scheduling Algorithms for New Emerging Applications, Marseille, France, June 2006 (invited).
  • C. Oğuz and X. Qi, “Preemptive Scheduling Multiprocessor Tasks to Minimize Total Weighted Completion Time on Two Dedicated Processors”, Tenth International Workshop on Project Management and Scheduling, Poznań, Poland, April 2006.
  • P. Hansen, N. Mladenović and C. Oğuz,  “Variable Neighborhood Search for Minimum Cost Berth Allocation”, Mini EURO Conference on Variable Neighborhood Search, Tenerife, Spain, November 2005.
  • C. Oğuz, J. Błażewicz, A. Świercz and J. Węglarz, “A Genetic Algorithm for DNA Sequencing by Hybridization with Isothermic Libraries”, 6th Metaheuristics International Conference, Vienna, Austria, August 2005.
  • C. Oğuz and E. Yücel, “A Branch-and-bound Algorithm for Single Machine Total Tardiness problem with Release Dates”, 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications, New York, USA, July 2005.
  • C. Oğuz, A. Jouglet and M. Sevaux, “Constraint Programming in a Memetic Algorithm for Hybrid Flow-shop Scheduling”, Seventh Workshop on Models and Algorithms for Planning and Scheduling Problems, Siena, Italy, June 2005.
  • C. Oğuz, “A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks”, Department of Industrial Engineering, Bosphorus University, İstanbul, Turkey, May 2005.
  • C. Oğuz, “Scheduling Multiprocessor Tasks in a Flow-shop Using a Genetic Algorithm”, Department of Industrial Engineering, Middle East Technical University, Ankara, Turkey, December 2004.
  • C. Oğuz, and L. Tang, “A Branch-and-Bound Algorithm for Two-stage Hybrid Flow-shop Scheduling with Multiprocessor Tasks”, INFORMS Annual Meeting, Denver, U.S.A., October 2004 (invited).
  • C. Oğuz, M. Sevaux and A. Jouglet, “Combining Genetic Algorithm with Constraint Programming for a Scheduling Problem”, INFORMS Annual Meeting, Denver, U.S.A., October 2004 (invited).
  • J. Błażewicz, T.C.E. Cheng, M. Machowiak and C. Oğuz, “Berth Allocation as a Moldable Task Scheduling Problem”, Scheduling in Computer and Manufacturing Systems, Dagstuhl, Germany, June 2004 (invited).
  • P. Hansen, N. Mladenović and C. Oğuz, “Variable Neighborhood Search for Minimum Cost Berth Allocation”, Institute of Computing Science, Poznań University of Technology, Poznań, Poland, June 2004.
  • P. Hansen, N. Mladenović and C. Oğuz, “Variable Neighborhood Search for Minimum Cost Berth Allocation”, Institute of Engineering Cybernetics, Wrocław University of Technology, Wrocław, Poland, May 2004.
  • C. Oğuz and L. Tang, “A Lagrangian Relaxation Method for Hybrid Flow-shop Scheduling with Multiprocessor Tasks to Minimize Total Weighted Completion Time”, 1st Multidisciplinary International Conference on Scheduling: Theory and Applications, Nottingham, UK, August 2003.
  • C. Oğuz and M.F. Ercan, “A Comparison of Search Algorithms for Scheduling Multiprocessor Tasks”, EURO/INFORMS Joint International Meeting, Istanbul, Turkey, July 2003.
  • C. Oğuz and M.F. Ercan, “A Genetic Algorithm for a Multiprocessor Task Scheduling Problem”, Institute of Computing Science, Poznań University of Technology, Poznań, Poland, July 2003.
  • C. Oğuz and M.F. Ercan, “A Genetic Algorithm for a Multiprocessor Task Scheduling Problem”, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznań, Poland, July 2003.
  • C. Oğuz, “A Comparison of Local Search Algorithms for Scheduling Multiprocessor Tasks”, Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, April 2003.
  • C. Oğuz and M.F. Ercan, “A Comparison of Local Search Algorithms for Scheduling Multiprocessor Tasks”, Sixth Workshop on Models and Algorithms for Planning and Scheduling Problems, Aussois, France, April 2003.
  • C. Oğuz and M.F. Ercan, “Meta-heuristic Algorithms for Multiprocessor Task Scheduling in Multi-stage Flow-shops”, INFORMS Annual Meeting, San Jose, U.S.A., November 2002.
  • C. Oğuz and B. Cheung, “Multiprocessor Task Scheduling in Multi-stage Flow Shops: A Genetic Algorithm”, The Sixteenth Triennial Conference of the IFORS, Edinburgh, U.K., July 2002.
  • C. Oğuz and B. Cheung, “A Genetic Algorithm for Flow-shop Scheduling Problems with Multiprocessor Tasks”, Eighth International Workshop on Project Management and Scheduling, Valencia, Spain, April 2002.
  • C. Oğuz, A. Janiak and M. Lichtenstein, “Metaheuristic Algorithms for Hybrid Flow-shop Scheduling Problem with Multiprocessor Tasks”,  4th Metaheuristics International Conference, Porto, Portugal, July 2001.
  • M.A. Lichtenstein, C. Oğuz, V.H. Do and Y. Zinder, “Deterministic Scheduling Problems with Multiprocessor Tasks: NP-hardness Results, Polynomially Solvable Cases and Approximation Algorithms”, Fifth Workshop on Models and Algorithms for Planning and Scheduling Problems, Aussois, France, June 2001.
  • C. Oğuz and Z-G. Hou, “A Heuristic Algorithm for Scheduling Multiprocessor Tasks with Precedence Constraints”, Fifth Workshop on Models and Algorithms for Planning and Scheduling Problems, Aussois, France, June 2001.

Grants

  • Solution Approaches to,Multi Product Lot Streaming Problems in Flow Shops, TÜBİTAK Research Grant, TL86,105 (US$66,235) (2011-2013) PI: C. Oğuz, Co-I: R. Sancar Edis
  • Integration of Facility Location and Layout of Intermodal Transportation System with Scheduling, TÜBİTAK Research Grant, YTL71,577 (US$51,126) (2006-2007) PI: C. Oğuz, Co-I: M. Türkay and M. Çancı
  • Local Search Algorithms for DNA Sequencing, The Hong Kong Polytechnic University Internal Competitive Research Grants, HK$156,305 (2002-2003) PI: C. Oğuz, Co-I: J. Błażewicz
  • Integrating Constraint Propagation into Meta-heuristic Algorithms for Multiprocessor Task Scheduling, France/Hong Kong Joint Research Scheme Grant, HK$19,000 (2002-2003) PI: C. Oğuz, and M. Sevaux; Collaborators: A. Jouglet, Y. Le Quéré, P. Thomin, W.K. Yeung
  • Optimization of Rail Network Infrastructure Capacity under Dynamic Train Planning, Australian Research Council, Linkage Project Grant, A$391,066 (2001-2002) PI: E. Kozan, A.N. Pettitt, L. Ferreira, I. Dall, C. Oğuz, M. Newman and M. Rossand 
  • Multiprocessor Task Scheduling in Manufacturing and Computer Systems, University Grant Council, Competitive Earmarked Research Grant, HK$387,248 (2001-2002) PI: C. Oğuz
  • Complex Job-shop Scheduling Problems, Germany/Hong Kong Joint Research Scheme Grant, HK$12,000 (2001-2002) PI: P. Brucker and T.C.E. Cheng; Co-I: C. Oğuz, and C.T. Ng
  • Scheduling Problems with Multiprocessor Tasks, The Hong Kong Polytechnic University, Central Research Grant, HK$200,000 (2000-2001) PI: C. Oğuz
  • Meta-heuristic Approaches for Multiprocessor Task Scheduling, The Hong Kong Polytechnic University, Central Research Grant, HK$147,389 (2000-2001) PI: C. Oğuz
  • Algorithms for Scheduling Multiprocessor Tasks in Multi-stage Environments, The Hong Kong Polytechnic University, Central Research Grant, HK$240,000 (1999-2000) PI: C. Oğuz
  • Models and Algorithms for Maintenance Scheduling, The Hong Kong Polytechnic University, Central Research Grant, HK$130,000 (1998-1999) PI: C. Oğuz, Co-I: A.K.S. Jardine
  • Multiprocessor Task Scheduling in a Hybrid Flow-shop: Development of a Genetic Algorithm and its Parallel Implementation, The Hong Kong Polytechnic University, Central Research Grant, HK$240,000 (1997-1998) PI: C. Oğuz, Co-I: Y.F. Fung
  • Parallel-machine Scheduling with Due Date Based Criteria: Complexity and Algorithms, Research Grants Council, Competitive Earmarked Research Grant, HK$341,000 (1995-1996) PI: C. Oğuz, Co-I: T.C.E. Cheng 
  • Machine Scheduling Problems with Compressible Processing Times and Due Dates, The Hong Kong Polytechnic University, Central Research Grant, HK$233,180 (1994-1995) PI: C. Oğuz, Co-I: T.C.E. Cheng
  • Machine Scheduling Problems with Earliness and Tardiness Penalties, Hong Kong Polytechnic, Research Grant Council direct allocation grant, HK$192,000 (1993-1994) PI: C. Oğuz, Co-I: T.C.E. Cheng

Supervision of students

  • Currently supervising one Ph.D. and six M.S. students, Koç University.
    • Gülçin Ermiş: Scheduling with Timelags (expected graduation: August 2014)
    • Ayşegül Altındağ (expected graduation: August 2013)
    • Duygu Korkmaz (expected graduation: August 2013)
    • Emin Rodoslu: Lot-streaming problem (expected graduation: January 2013)
    • Celal Özgür Ünsal: Operational problems at container terminals (expected graduation: January 2013)
    • Doğan Çörüş: Operational problems at container terminals (expected graduation: August 2012)
    • Fatma Virdil: Storage handling at container terminals (expected graduation: August 2012)
  • Successfully supervised six M.Sc. students, Koç University, 2005-2010.
    • Ömer Kırkağaçlıoğlu: Algorithms for 2D protein folding problem (graduation: October 2010)
    • Bahriye Cesaret: Operational issues in make-to-order production systems (graduation: August 2010, currently in Ph.D. Program in School of Management at University of Texas at Dallas)
    • Özge Narin: Column generation approach for dynamic berth allocation problem (graduation: July 2009, currently Business Analyst at Garanti Technology)
    • Güven Kaya: Multimodal transportation and scheduling (graduation: August 2008)
    • Sibel Bilge Sonuç: Metaheuristics for optimization problems (graduation: February 2008, currently in Ph.D. Program in Industrial and Systems Engineering at The University of Florida)
    • Zehra Bilgintürk: Order selection and scheduling decisions in make-to-order systems (graduation: August 2007, currently in Ph.D. Program in Industrial Engineering and Operations Management at Koç University)
  • IEOM Ph.D. qualification examination jury member, Koç University, 2005-2010, 2012.
  • PhDIE Committee Member for one student, Koç University, 2009.
  • PhDIE Steering Committee Member for two student, Koç University, 2007-2009, 2009-2011.
  • MSIE Committee Member for seven students, Koç University, 2005-2009.
  • External Examiner for M.Phil., Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Hong Kong, 2004.
  • External Examiner for Ph.D., School of Mathematical Sciences, Queensland University of Technology, Australia, 2001.
  • Successfully supervised one PhD, one MPhil, eight MSc, and 16 BAM (Honors) students, The Hong Kong Polytechnic University.
    • Ph.D.: W.K. Yeung, Two-stage flow-shop scheduling with due windows to minimize earliness/tardiness penalties (2004).
    • M.Phil.: W.K. Yeung, Machine scheduling problems with a common due window (1998). 
    • M.Sc.:
      • Determining the replenishment policy under Just-in-time procurement system, James Chow (1996).
      • Better project management in the information technology services department of Hong Kong Government through the PRINCE methodology, Paul P.K. Pang (1996).
      • Hedging of trading gold asset with markov decision processes, Eric K.K. Chu (1998).
      • A study on the shift-rota scheduling system for a power system control center, S.K. Ho (1999).
      • Queueing theory on semiconductor flow line, K.Y. Choi (2000).
      • Customer service quality measurement for Hong Kong and Guangzhou individual life insurance industry, L.P. Chan (2000).
      • Success criteria for ISO 14000 certification: A survey of selected ISO 9000 certified organizations in Hong Kong, S.F. Choi (2000).
      • A continuous-time stochastic process for modeling the behavior of stock prices, Jones K.K. Kwok (2001).

Data for hybrid flow-shop scheduling with multiprocessor tasks

Data and solutions for order acceptance and scheduling

    instance #	Best UB TS Solution
10_Tao1 R1			
	1	119.11	116.00
	2	126.12	126.00
	3	90.08	90.00
	4	119.11	119.00
	5	94.09	92.00
	6	111.10	111.00
	7	102.10	102.00
	8	104.10	102.00
	9	117.11	116.00
	10	105.10	105.00
10_Tao1 R3			
	1	89.08	87.00
	2	103.10	103.00
	3	94.09	91.00
	4	95.09	94.00
	5	120.12	116.00
	6	153.15	149.40
	7	121.11	121.00
	8	95.09	95.00
	9	106.10	106.00
	10	102.10	102.00
10_Tao1 R5			
	1	108.10	108.00
	2	122.12	122.00
	3	127.12	127.00
	4	98.09	98.00
	5	106.10	106.00
	6	85.07	85.00
	7	111.28	111.00
	8	124.00	124.00
	9	120.00	111.00
	10	105.10	105.00
10_Tao1 R7			
	1	102.10	102.00
	2	95.09	95.00
	3	137.13	137.00
	4	92.08	92.00
	5	113.00	113.00
	6	83.22	83.00
	7	107.10	107.00
	8	106.00	106.00
	9	112.00	109.00
	10	91.08	91.00
10_Tao1 R9			
	1	94.00	94.00
	2	112.00	112.00
	3	108.00	108.00
	4	103.00	103.00
	5	110.00	110.00
	6	120.00	120.00
	7	105.00	105.00
	8	73.73	73.20
	9	116.44	115.00
	10	69.00	68.67
10_Tao3 R1			
	1	108.10	108.00
	2	126.12	124.00
	3	82.07	82.00
	4	98.09	98.00
	5	79.07	79.00
	6	103.10	103.00
	7	100.09	100.00
	8	119.10	119.00
	9	92.08	92.00
	10	104.10	104.00
10_Tao3 R3			
	1	83.08	83.00
	2	81.07	81.00
	3	98.09	96.00
	4	111.10	111.00
	5	107.10	105.67
	6	115.14	113.00
	7	101.09	101.00
	8	99.09	99.00
	9	119.11	117.00
	10	100.09	100.00
10_Tao3 R5			
	1	118.11	118.00
	2	103.10	103.00
	3	91.08	91.00
	4	102.08	102.00
	5	88.03	88.00
	6	110.10	103.00
	7	119.11	114.00
	8	112.09	112.00
	9	114.11	105.11
	10	128.55	126.00
10_Tao3 R7			
	1	99.08	99.00
	2	88.94	88.85
	3	98.09	97.00
	4	133.13	133.00
	5	92.08	92.00
	6	87.08	85.00
	7	94.09	94.00
	8	135.73	134.00
	9	119.11	118.00
	10	134.12	134.00
10_Tao3 R9			
	1	114.00	112.00
	2	96.09	96.00
	3	117.10	115.00
	4	105.98	105.89
	5	91.33	91.00
	6	109.90	109.00
	7	104.09	104.00
	8	118.00	114.00
	9	76.07	76.00
	10	86.46	86.37
10_Tao5 R1			
	1	99.05	99.00
	2	93.05	93.00
	3	117.10	110.00
	4	100.09	100.00
	5	66.05	66.00
	6	77.07	77.00
	7	85.00	85.00
	8	100.07	100.00
	9	114.04	114.00
	10	97.00	97.00
10_Tao5 R3			
	1	34.01	34.00
	2	84.08	84.00
	3	80.06	76.00
	4	102.06	102.00
	5	101.09	101.00
	6	106.08	102.00
	7	65.06	65.00
	8	90.01	90.00
	9	95.07	95.00
	10	99.09	99.00
10_Tao5 R5			
	1	99.08	99.00
	2	70.05	70.00
	3	104.00	104.00
	4	135.37	135.00
	5	89.23	89.20
	6	118.09	118.00
	7	104.02	104.00
	8	116.10	116.00
	9	84.08	84.00
	10	90.06	90.00
10_Tao5 R7			
	1	105.21	105.14
	2	82.65	82.57
	3	89.60	89.54
	4	120.86	120.78
	5	89.93	88.00
	6	113.10	113.00
	7	109.93	109.83
	8	72.77	72.70
	9	135.04	135.00
	10	86.00	86.00
10_Tao5 R9			
	1	103.09	103.00
	2	106.72	104.99
	3	106.44	106.44
	4	74.06	74.00
	5	66.05	66.00
	6	113.10	113.00
	7	73.98	73.92
	8	92.44	92.36
	9	107.08	107.00
	10	104.10	104.00
10_Tao7 R1			
	1	96.00	96.00
	2	75.00	75.00
	3	88.00	88.00
	4	83.00	83.00
	5	94.00	90.00
	6	98.00	98.00
	7	100.00	100.00
	8	97.00	97.00
	9	86.00	86.00
	10	77.00	77.00
10_Tao7 R3			
	1	82.01	82.00
	2	113.00	113.00
	3	80.00	80.00
	4	65.00	65.00
	5	55.00	55.00
	6	74.00	74.00
	7	84.00	84.00
	8	83.00	83.00
	9	90.00	90.00
	10	97.00	97.00
10_Tao7 R5			
	1	85.00	85.00
	2	85.00	85.00
	3	66.00	66.00
	4	106.00	106.00
	5	93.00	93.00
	6	95.00	95.00
	7	109.38	108.00
	8	105.00	105.00
	9	97.00	97.00
	10	79.00	79.00
10_Tao7 R7			
	1	89.40	89.40
	2	73.06	73.00
	3	95.05	95.00
	4	73.25	73.25
	5	96.00	96.00
	6	81.00	81.00
	7	84.60	84.60
	8	117.00	117.00
	9	100.37	100.38
	10	100.53	100.53
10_Tao7 R9			
	1	111.00	107.00
	2	91.75	91.75
	3	97.00	97.00
	4	87.11	87.11
	5	91.45	91.45
	6	108.74	108.67
	7	80.16	80.16
	8	72.91	72.88
	9	84.50	84.50
	10	69.00	69.00
10_Tao9 R1			
	1	58.00	58.00
	2	77.00	77.00
	3	74.00	74.00
	4	65.00	65.00
	5	50.00	50.00
	6	60.00	60.00
	7	63.00	63.00
	8	72.00	72.00
	9	88.00	88.00
	10	77.00	77.00
10_Tao9 R3			
	1	81.00	81.00
	2	82.00	82.00
	3	76.00	76.00
	4	61.67	61.67
	5	57.00	57.00
	6	67.00	67.00
	7	68.00	68.00
	8	86.00	86.00
	9	60.00	60.00
	10	83.00	83.00
10_Tao9 R5			
	1	75.74	75.74
	2	72.54	72.54
	3	82.00	82.00
	4	78.00	78.00
	5	80.50	80.50
	6	83.26	83.25
	7	77.33	77.33
	8	98.00	98.00
	9	109.00	109.00
	10	79.30	79.30
10_Tao9 R7			
	1	74.00	74.00
	2	69.00	69.00
	3	69.00	69.00
	4	66.00	66.00
	5	75.00	75.00
	6	87.00	87.00
	7	89.38	89.38
	8	107.25	107.25
	9	95.20	95.20
	10	71.50	71.50
10_Tao9 R9			
	1	107.00	107.00
	2	79.00	79.00
	3	94.00	94.00
	4	73.85	73.85
	5	105.00	105.00
	6	98.67	98.67
	7	100.67	100.67
	8	70.75	70.75
	9	96.25	96.25
	10	95.40	95.40
15_Tao1 R1			
	1	140.00	135.00
	2	165.00	162.00
	3	171.00	166.00
	4	171.00	165.00
	5	168.00	166.00
	6	174.00	171.00
	7	120.00	117.00
	8	182.00	176.00
	9	139.00	135.00
	10	169.00	163.00
15_Tao1 R3			
	1	153.00	140.00
	2	165.00	162.00
	3	167.00	165.00
	4	171.00	168.00
	5	122.00	116.16
	6	127.00	127.00
	7	157.00	151.00
	8	191.00	182.00
	9	159.00	157.00
	10	149.00	143.00
15_Tao1 R5			
	1	219.00	211.00
	2	167.00	165.00
	3	123.00	123.00
	4	160.00	155.14
	5	178.00	175.00
	6	211.00	208.00
	7	163.00	161.00
	8	193.00	190.00
	9	174.00	171.00
	10	187.00	184.00
15_Tao1 R7			
	1	174.00	170.00
	2	147.00	145.00
	3	217.00	212.00
	4	185.00	176.76
	5	157.00	157.00
	6	171.00	169.00
	7	201.00	199.00
	8	116.00	113.00
	9	155.00	154.25
	10	146.00	143.00
15_Tao1 R9			
	1	164.00	161.00
	2	155.00	153.00
	3	165.00	165.00
	4	177.00	177.00
	5	162.00	160.00
	6	175.00	175.00
	7	169.00	169.00
	8	169.00	166.44
	9	148.00	139.00
	10	161.00	159.00
15_Tao3 R1			
	1	171.00	164.00
	2	169.00	162.00
	3	170.00	161.00
	4	138.00	133.00
	5	163.00	157.00
	6	168.00	161.00
	7	169.00	163.00
	8	166.00	159.00
	9	174.00	160.00
	10	119.00	115.00
15_Tao3 R3			
	1	182.00	172.00
	2	141.00	135.00
	3	169.00	163.00
	4	150.00	133.00
	5	162.00	157.00
	6	167.00	154.00
	7	168.00	163.00
	8	120.00	116.00
	9	127.00	125.00
	10	156.00	147.00
15_Tao3 R5			
	1	191.00	182.00
	2	159.00	157.00
	3	152.00	142.00
	4	219.00	202.57
	5	167.00	162.00
	6	123.00	119.00
	7	160.00	147.14
	8	178.00	169.00
	9	211.00	202.00
	10	163.00	159.00
15_Tao3 R7			
	1	193.00	190.00
	2	174.00	169.00
	3	187.00	176.00
	4	174.00	166.92
	5	147.00	142.00
	6	217.00	205.00
	7	185.00	171.00
	8	157.00	154.00
	9	171.00	166.00
	10	201.00	193.00
15_Tao3 R9			
	1	116.00	109.00
	2	155.00	153.00
	3	146.00	139.00
	4	164.00	155.00
	5	155.00	144.00
	6	165.00	160.00
	7	177.00	170.00
	8	162.00	152.00
	9	175.00	175.00
	10	169.00	169.00
15_Tao5 R1			
	1	157.00	147.00
	2	133.00	121.00
	3	149.00	141.00
	4	172.00	162.00
	5	142.00	133.00
	6	199.00	174.00
	7	183.00	164.00
	8	159.00	146.00
	9	145.00	133.00
	10	162.00	158.00
15_Tao5 R3			
	1	174.00	159.00
	2	141.00	129.00
	3	176.00	163.00
	4	139.00	130.00
	5	188.00	173.00
	6	130.00	121.83
	7	162.00	147.00
	8	141.00	135.00
	9	153.00	132.00
	10	164.00	157.00
15_Tao5 R5			
	1	170.00	160.00
	2	161.00	140.00
	3	114.00	101.00
	4	172.00	162.00
	5	170.00	144.00
	6	170.00	150.00
	7	166.00	155.00
	8	194.00	178.00
	9	159.00	146.00
	10	166.00	154.00
15_Tao5 R7			
	1	150.67	141.00
	2	162.00	151.00
	3	200.00	192.00
	4	121.00	113.40
	5	193.00	183.00
	6	209.00	186.00
	7	144.68	143.00
	8	169.00	155.00
	9	157.00	148.00
	10	182.00	164.00
15_Tao5 R9			
	1	144.00	136.47
	2	169.00	137.75
	3	113.00	109.00
	4	135.00	131.00
	5	115.94	113.94
	6	214.00	193.07
	7	153.15	153.00
	8	161.00	150.00
	9	171.77	157.77
	10	147.00	137.00
15_Tao7 R1			
	1	153.13	153.00
	2	99.09	99.00
	3	134.12	134.00
	4	136.00	136.00
	5	126.12	121.00
	6	127.10	125.00
	7	133.12	133.00
	8	148.07	148.00
	9	152.15	151.00
	10	163.16	163.00
15_Tao7 R3			
	1	149.14	145.00
	2	121.09	121.00
	3	108.10	107.00
	4	154.26	152.33
	5	155.14	155.00
	6	159.13	159.00
	7	137.12	137.00
	8	150.14	150.00
	9	124.12	124.00
	10	132.13	132.00
15_Tao7 R5			
	1	130.12	130.00
	2	174.15	174.00
	3	142.10	142.00
	4	147.14	147.00
	5	130.12	127.00
	6	159.00	158.00
	7	143.14	143.00
	8	156.34	155.36
	9	89.07	89.00
	10	138.13	138.00
15_Tao7 R7			
	1	100.08	99.00
	2	85.55	83.75
	3	165.16	165.00
	4	153.15	153.00
	5	134.93	133.00
	6	161.16	157.00
	7	143.91	132.00
	8	148.04	141.67
	9	158.65	158.00
	10	100.25	100.17
15_Tao7 R9			
	1	151.14	151.00
	2	174.17	174.00
	3	133.12	133.00
	4	129.21	129.09
	5	161.60	161.44
	6	154.13	154.00
	7	143.13	143.00
	8	82.95	82.73
	9	142.12	142.00
	10	131.12	131.00
15_Tao9 R1			
	1	118.00	118.00
	2	111.00	108.00
	3	102.00	102.00
	4	103.00	103.00
	5	109.00	109.00
	6	125.00	125.00
	7	105.00	105.00
	8	97.00	97.00
	9	107.00	107.00
	10	100.00	100.00
15_Tao9 R3			
	1	131.10	131.00
	2	115.00	115.00
	3	109.00	104.00
	4	111.00	111.00
	5	102.00	102.00
	6	128.00	128.00
	7	118.00	118.00
	8	81.00	81.00
	9	124.00	124.00
	10	72.50	72.50
15_Tao9 R5			
	1	139.14	139.14
	2	111.07	111.00
	3	128.00	128.00
	4	131.25	131.14
	5	119.76	119.66
	6	142.00	142.00
	7	132.00	132.00
	8	97.50	97.50
	9	114.07	114.00
	10	154.00	154.00
15_Tao9 R7			
	1	145.28	145.28
	2	145.62	145.50
	3	132.06	132.00
	4	145.00	145.00
	5	117.07	117.00
	6	125.23	125.23
	7	135.00	135.00
	8	145.92	145.92
	9	120.97	120.85
	10	105.30	105.25
15_Tao9 R9			
	1	91.00	91.00
	2	135.98	135.84
	3	141.50	141.37
	4	146.00	146.00
	5	138.44	138.33
	6	135.00	135.00
	7	151.06	151.01
	8	141.22	141.22
	9	104.38	104.29
	10	101.10	101.00
20_Tao1 R1			
	1	213.00	205.00
	2	219.00	209.00
	3	224.00	214.00
	4	207.00	204.00
	5	193.00	187.00
	6	233.00	226.00
	7	195.00	191.00
	8	225.00	220.00
	9	237.00	228.00
	10	220.00	213.00
20_Tao1 R3			
	1	252.00	244.16
	2	248.00	238.00
	3	185.00	180.00
	4	245.00	243.00
	5	215.00	206.50
	6	232.00	226.00
	7	228.00	223.00
	8	214.00	206.00
	9	259.00	246.00
	10	198.00	189.00
20_Tao1 R5			
	1	223.00	219.67
	2	247.00	241.00
	3	230.00	224.00
	4	248.00	245.00
	5	210.00	208.00
	6	228.00	225.00
	7	243.00	241.00
	8	259.00	254.00
	9	230.00	223.00
	10	243.00	235.00
20_Tao1 R7			
	1	247.00	245.00
	2	249.00	246.00
	3	230.00	230.00
	4	238.00	238.00
	5	239.00	236.23
	6	222.00	222.00
	7	241.00	241.00
	8	228.00	225.00
	9	156.00	153.00
	10	211.00	211.00
20_Tao1 R9			
	1	232.00	226.00
	2	242.00	240.00
	3	223.00	223.00
	4	227.00	224.00
	5	197.00	197.00
	6	230.00	221.00
	7	198.00	196.00
	8	195.00	193.00
	9	220.00	218.00
	10	214.00	214.00
20_Tao3 R1			
	1	183.00	169.00
	2	192.00	183.00
	3	191.00	183.00
	4	210.00	201.00
	5	247.00	235.00
	6	234.00	228.00
	7	243.00	239.00
	8	202.00	193.00
	9	255.00	236.00
	10	190.00	181.00
20_Tao3 R3			
	1	189.00	183.00
	2	193.00	181.00
	3	183.00	176.00
	4	232.00	219.00
	5	206.00	197.00
	6	225.00	211.00
	7	241.00	228.00
	8	245.00	236.00
	9	208.00	201.00
	10	228.00	215.00
20_Tao3 R5			
	1	228.00	217.00
	2	243.00	234.00
	3	242.00	231.00
	4	259.00	254.00
	5	230.00	215.00
	6	243.00	226.00
	7	247.00	237.00
	8	244.00	225.44
	9	156.00	147.00
	10	228.00	214.00
20_Tao3 R7			
	1	241.00	233.00
	2	232.00	229.00
	3	242.00	237.00
	4	223.00	220.00
	5	227.00	219.00
	6	197.00	187.73
	7	230.00	214.00
	8	198.00	194.00
	9	195.00	191.00
	10	220.00	208.00
20_Tao3 R9			
	1	187.00	185.00
	2	200.00	191.13
	3	212.00	207.00
	4	201.00	201.00
	5	256.00	244.00
	6	248.00	248.00
	7	247.00	245.00
	8	217.00	213.00
	9	217.00	208.00
	10	262.00	257.00
20_Tao5 R1			
	1	206.00	196.00
	2	233.00	219.00
	3	224.00	211.00
	4	235.00	222.00
	5	220.00	208.00
	6	219.00	203.00
	7	186.00	175.00
	8	221.00	204.00
	9	194.00	187.00
	10	188.00	178.00
20_Tao5 R3			
	1	213.00	195.00
	2	212.00	206.00
	3	183.00	169.00
	4	192.00	179.00
	5	210.00	203.00
	6	195.00	182.00
	7	251.00	228.00
	8	238.00	221.00
	9	243.00	233.00
	10	202.00	187.80
20_Tao5 R5			
	1	209.00	193.00
	2	260.00	246.00
	3	194.00	188.00
	4	247.00	224.00
	5	195.00	181.00
	6	183.00	168.25
	7	232.00	213.00
	8	208.00	197.00
	9	228.00	205.00
	10	223.00	212.11
20_Tao5 R7			
	1	248.00	245.00
	2	210.00	203.00
	3	230.00	214.30
	4	228.00	211.11
	5	243.00	233.00
	6	242.00	231.00
	7	259.00	254.00
	8	230.00	209.00
	9	243.00	217.00
	10	247.00	237.00
20_Tao5 R9			
	1	246.00	220.00
	2	239.00	220.00
	3	223.00	210.55
	4	228.00	215.00
	5	156.00	141.00
	6	211.00	211.00
	7	230.00	211.00
	8	238.00	233.00
	9	219.00	204.00
	10	239.00	225.00
20_Tao7 R1			
	1	215.00	202.00
	2	173.00	158.00
	3	222.00	207.00
	4	235.00	213.00
	5	229.00	195.00
	6	227.00	202.00
	7	209.00	190.00
	8	217.00	186.00
	9	221.00	200.00
	10	201.00	190.00
20_Tao7 R3			
	1	189.25	178.00
	2	203.00	179.00
	3	197.00	180.33
	4	202.00	184.00
	5	233.00	218.00
	6	238.00	204.00
	7	218.00	196.00
	8	189.00	177.00
	9	250.00	225.00
	10	174.00	157.00
20_Tao7 R5			
	1	203.00	181.00
	2	223.00	178.00
	3	173.00	149.33
	4	147.00	131.00
	5	208.16	202.80
	6	201.08	200.88
	7	215.20	203.00
	8	166.00	149.00
	9	148.14	148.00
	10	235.00	195.00
20_Tao7 R7			
	1	252.00	227.67
	2	190.00	171.00
	3	213.00	204.00
	4	190.32	175.00
	5	222.75	197.50
	6	223.21	223.00
	7	213.71	213.50
	8	186.18	186.00
	9	238.00	211.00
	10	230.00	202.00
20_Tao7 R9			
	1	209.00	193.00
	2	217.20	190.06
	3	231.00	216.00
	4	265.00	231.00
	5	213.00	194.00
	6	170.89	170.89
	7	176.00	165.00
	8	239.00	220.00
	9	233.22	208.00
	10	160.00	151.00
20_Tao9 R1			
	1	156.01	156.00
	2	201.00	201.00
	3	165.00	163.00
	4	189.00	189.00
	5	177.00	177.00
	6	155.00	155.00
	7	142.00	142.00
	8	178.00	178.00
	9	149.00	149.00
	10	132.00	132.00
20_Tao9 R3			
	1	149.11	149.00
	2	180.16	180.00
	3	136.01	135.00
	4	158.00	158.00
	5	160.07	160.00
	6	136.87	136.75
	7	184.00	184.00
	8	174.44	174.17
	9	192.00	192.00
	10	133.05	133.00
20_Tao9 R5			
	1	158.15	157.00
	2	200.20	200.00
	3	165.71	165.57
	4	166.06	165.90
	5	147.14	147.00
	6	138.63	138.50
	7	165.16	163.00
	8	167.00	167.00
	9	157.16	157.16
	10	178.15	174.00
20_Tao9 R7			
	1	193.78	190.92
	2	208.20	208.00
	3	183.00	183.00
	4	171.16	171.00
	5	188.18	186.83
	6	197.52	197.33
	7	197.33	197.23
	8	234.17	234.00
	9	170.80	170.00
	10	180.03	177.71
20_Tao9 R9			
	1	198.81	197.50
	2	180.18	156.37
	3	189.40	189.11
	4	212.54	212.33
	5	190.42	188.89
	6	203.20	201.00
	7	173.00	172.00
	8	192.00	192.00
	9	180.67	179.50
	10	170.96	167.30
25_Tao1 R1			
	1	310.00	299.00
	2	260.00	249.00
	3	285.00	271.00
	4	237.00	228.00
	5	270.00	259.00
	6	275.00	272.00
	7	245.00	236.00
	8	265.00	253.00
	9	223.00	209.00
	10	223.00	214.00
25_Tao1 R3			
	1	290.00	285.00
	2	281.00	276.00
	3	245.00	239.00
	4	281.00	263.00
	5	240.00	230.00
	6	316.00	306.00
	7	310.00	298.00
	8	329.00	322.00
	9	249.00	245.00
	10	294.00	277.00
25_Tao1 R5			
	1	245.00	240.00
	2	315.00	308.00
	3	326.00	312.00
	4	306.00	295.00
	5	230.00	228.00
	6	210.00	205.00
	7	222.00	216.00
	8	257.00	253.00
	9	285.00	282.00
	10	283.00	278.00
25_Tao1 R7			
	1	270.00	259.00
	2	238.00	234.00
	3	282.00	278.00
	4	299.00	291.00
	5	289.00	285.00
	6	244.00	244.00
	7	206.00	206.00
	8	288.00	286.00
	9	283.00	283.00
	10	257.00	257.00
25_Tao1 R9			
	1	287.00	281.00
	2	332.00	325.00
	3	255.00	255.00
	4	282.00	282.00
	5	267.00	267.00
	6	272.00	270.00
	7	282.00	279.00
	8	291.00	287.00
	9	300.00	294.00
	10	285.00	285.00
25_Tao3 R1			
	1	292.00	287.00
	2	286.00	271.00
	3	258.00	247.00
	4	322.00	307.00
	5	210.00	202.00
	6	289.00	277.00
	7	285.00	276.00
	8	253.00	244.00
	9	248.00	240.00
	10	321.00	312.00
25_Tao3 R3			
	1	245.00	234.00
	2	277.00	264.50
	3	300.00	278.00
	4	234.00	224.00
	5	291.00	276.00
	6	268.00	261.00
	7	233.00	224.00
	8	265.00	247.75
	9	333.00	320.00
	10	272.00	255.00
25_Tao3 R5			
	1	270.00	262.00
	2	267.00	260.00
	3	227.00	220.00
	4	326.00	319.00
	5	224.00	220.00
	6	251.00	244.00
	7	286.00	270.00
	8	302.00	290.00
	9	230.00	226.00
	10	277.00	268.00
25_Tao3 R7			
	1	272.00	269.00
	2	246.00	232.00
	3	235.00	229.00
	4	284.00	281.00
	5	292.00	287.00
	6	255.00	250.00
	7	297.00	290.97
	8	217.00	213.50
	9	228.00	224.00
	10	282.00	267.00
25_Tao3 R9			
	1	290.00	281.10
	2	272.00	272.00
	3	271.00	266.00
	4	284.00	280.00
	5	228.00	226.00
	6	276.00	273.00
	7	283.00	283.00
	8	279.00	272.00
	9	248.00	239.00
	10	296.00	284.00
25_Tao5 R1			
	1	283.00	266.00
	2	178.00	165.00
	3	274.00	258.00
	4	269.00	250.00
	5	238.00	222.00
	6	250.00	243.00
	7	285.00	264.00
	8	244.00	228.00
	9	296.00	276.00
	10	297.00	276.00
25_Tao5 R3			
	1	288.00	261.40
	2	297.00	278.80
	3	304.00	287.00
	4	230.00	213.00
	5	297.00	282.00
	6	252.00	238.00
	7	246.00	235.00
	8	270.00	258.00
	9	309.00	297.00
	10	221.00	214.00
25_Tao5 R5			
	1	266.00	245.00
	2	273.00	261.00
	3	306.00	286.00
	4	267.00	255.00
	5	315.00	300.00
	6	309.00	303.00
	7	330.00	314.00
	8	253.00	234.00
	9	251.00	236.00
	10	247.00	236.00
25_Tao5 R7			
	1	281.00	261.00
	2	265.00	255.00
	3	313.00	308.00
	4	251.00	229.00
	5	281.00	266.00
	6	303.00	270.00
	7	274.00	260.00
	8	270.00	262.00
	9	289.00	268.00
	10	308.00	295.00
25_Tao5 R9			
	1	300.00	277.64
	2	292.00	289.00
	3	301.00	295.00
	4	287.00	269.16
	5	218.00	206.00
	6	285.00	269.00
	7	294.00	285.00
	8	253.00	240.00
	9	264.00	253.00
	10	228.00	221.00
25_Tao7 R1			
	1	296.00	242.00
	2	216.00	209.00
	3	290.00	254.00
	4	277.00	261.00
	5	256.00	234.00
	6	274.00	244.00
	7	228.00	215.00
	8	267.00	243.00
	9	297.00	260.00
	10	247.00	231.00
25_Tao7 R3			
	1	248.00	213.00
	2	287.00	260.00
	3	240.00	216.00
	4	275.00	251.00
	5	252.00	229.00
	6	277.00	257.00
	7	288.00	267.00
	8	242.00	208.00
	9	261.00	236.00
	10	253.00	233.00
25_Tao7 R5			
	1	294.00	254.00
	2	236.00	201.20
	3	310.00	281.00
	4	326.00	282.00
	5	269.00	244.00
	6	304.00	274.00
	7	272.00	233.00
	8	242.00	226.00
	9	237.00	203.00
	10	274.00	248.14
25_Tao7 R7			
	1	257.00	231.68
	2	279.00	253.00
	3	266.00	255.00
	4	277.00	249.00
	5	272.00	243.18
	6	295.00	290.00
	7	251.25	233.00
	8	253.00	246.00
	9	297.00	270.00
	10	240.00	207.00
25_Tao7 R9			
	1	302.00	269.00
	2	206.26	201.00
	3	257.00	219.38
	4	245.00	216.00
	5	252.00	239.00
	6	244.25	219.00
	7	292.00	257.71
	8	289.82	259.00
	9	264.00	228.00
	10	258.27	230.00
25_Tao9 R1			
	1	208	205.00
	2	240	240.00
	3	225	222.00
	4	212	212.00
	5	200	200.00
	6	199	199.00
	7	227	221.00
	8	203	190.00
	9	271	271.00
	10	210	208.00
25_Tao9 R3			
	1	183	183.00
	2	189.5	189.50
	3	237	237.00
	4	240	240.00
	5	203.18	203.16
	6	213	213.00
	7	270.02	270.00
	8	206	206.00
	9	231.66	231.00
	10	232.02	231.00
25_Tao9 R5			
	1	232.9	232.00
	2	195.33	177.80
	3	233.01	233.00
	4	207.77	207.70
	5	245.8	245.80
	6	233	218.00
	7	259.02	253.00
	8	283	272.00
	9	252.38	221.00
	10	258.02	256.50
25_Tao9 R7			
	1	226.88	194.00
	2	273.87	227.54
	3	262	197.00
	4	242.35	242.30
	5	217.01	217.00
	6	183.017	183.00
	7	182.01	178.00
	8	196.18	196.16
	9	205.82	203.25
	10	240	202.54
25_Tao9 R9			
	1	263.46	263.43
	2	231.97	231.95
	3	208.12	161.77
	4	224.96	224.50
	5	205.01	205.00
	6	262	233.00
	7	235.5	213.33
	8	269.46	244.00
	9	260.94	235.92
	10	255.64	241.00
50_Tao1 R1			
	1	532.00	521.00
	2	553.00	537.00
	3	504.00	489.00
	4	553.00	540.00
	5	583.00	568.00
	6	534.00	518.00
	7	501.00	490.00
	8	487.00	480.00
	9	500.00	494.00
	10	545.00	536.00
50_Tao1 R3			
	1	507.00	497.00
	2	591.00	580.00
	3	502.00	495.00
	4	587.00	564.00
	5	516.00	503.00
	6	632.00	610.00
	7	575.00	560.00
	8	602.00	588.00
	9	656.00	643.00
	10	567.00	554.00
50_Tao1 R5			
	1	594.00	585.00
	2	535.00	529.00
	3	477.00	467.00
	4	584.00	575.00
	5	528.00	519.00
	6	580.00	569.00
	7	521.00	514.00
	8	513.00	505.00
	9	542.00	531.00
	10	524.00	517.00
50_Tao1 R7			
	1	617.00	614.00
	2	538.00	527.00
	3	570.00	563.00
	4	612.00	610.00
	5	577.00	571.00
	6	537.00	537.00
	7	551.00	546.00
	8	592.00	495.00
	9	529.00	524.00
	10	514.00	508.00
50_Tao1 R9			
	1	558.00	558.00
	2	579.00	568.00
	3	561.00	559.00
	4	471.00	469.00
	5	600.00	596.00
	6	495.00	491.00
	7	445.00	445.00
	8	601.00	599.00
	9	533.00	531.00
	10	578.00	575.00
50_Tao3 R1			
	1	576.00	558.00
	2	492.00	484.00
	3	526.00	510.00
	4	555.00	543.00
	5	436.00	425.00
	6	524.00	507.00
	7	501.00	487.00
	8	568.00	559.00
	9	557.00	542.00
	10	488.00	471.00
50_Tao3 R3			
	1	638.00	621.00
	2	495.00	470.00
	3	559.00	542.00
	4	516.00	502.00
	5	493.00	469.00
	6	519.00	502.00
	7	535.00	520.00
	8	603.00	579.00
	9	557.00	534.00
	10	488.00	474.00
50_Tao3 R5			
	1	573.00	564.00
	2	599.00	581.00
	3	495.00	483.00
	4	527.00	520.00
	5	534.00	526.00
	6	550.00	534.00
	7	516.00	491.00
	8	573.00	558.00
	9	594.00	575.00
	10	583.00	570.00
50_Tao3 R7			
	1	558.00	549.00
	2	542.00	540.00
	3	561.00	554.00
	4	531.00	526.00
	5	582.00	576.00
	6	577.00	560.00
	7	508.00	504.00
	8	680.00	669.00
	9	545.00	545.00
	10	553.00	534.00
50_Tao3 R9			
	1	491.00	477.00
	2	568.00	564.00
	3	591.00	587.00
	4	496.00	487.00
	5	482.00	473.00
	6	502.00	500.00
	7	584.00	572.00
	8	584.00	580.00
	9	532.00	525.00
	10	454.00	449.00
50_Tao5 R1			
	1	525.00	508.00
	2	505.00	480.00
	3	567.00	551.00
	4	452.00	429.00
	5	523.00	505.00
	6	503.00	483.00
	7	540.00	520.00
	8	524.00	496.00
	9	532.00	505.00
	10	512.00	492.00
50_Tao5 R3			
	1	524.00	482.00
	2	487.00	472.00
	3	524.00	494.00
	4	572.00	539.00
	5	514.00	484.00
	6	552.00	521.00
	7	549.00	518.00
	8	542.00	520.00
	9	500.00	461.00
	10	503.00	476.00
50_Tao5 R5			
	1	585.00	560.00
	2	616.00	569.00
	3	549.00	505.00
	4	575.00	548.00
	5	597.00	578.00
	6	565.00	544.00
	7	461.00	449.50
	8	551.00	530.30
	9	530.00	504.00
	10	581.00	572.00
50_Tao5 R7			
	1	552.00	535.00
	2	561.00	538.00
	3	538.00	522.00
	4	529.00	521.00
	5	481.00	462.00
	6	545.00	527.00
	7	543.00	515.00
	8	514.00	496.00
	9	548.00	539.00
	10	520.00	511.00
50_Tao5 R9			
	1	603.00	580.00
	2	495.00	467.00
	3	500.00	479.00
	4	498.00	510.00
	5	495.00	485.00
	6	498.00	478.00
	7	566.00	555.00
	8	549.00	517.00
	9	526.00	506.00
	10	577.00	560.88
50_Tao7 R1			
	1	480.00	445.00
	2	539.00	503.00
	3	626.00	596.00
	4	553.00	509.00
	5	509.00	478.00
	6	550.00	514.00
	7	519.00	483.00
	8	628.00	581.00
	9	546.00	499.00
	10	538.00	518.00
50_Tao7 R3			
	1	599.00	569.00
	2	543.00	489.00
	3	541.00	518.00
	4	548.00	489.00
	5	570.00	528.00
	6	490.00	463.00
	7	566.00	507.00
	8	547.00	519.00
	9	582.00	535.00
	10	568.00	533.00
50_Tao7 R5			
	1	549.00	509.00
	2	528.00	478.00
	3	562.00	488.00
	4	566.00	519.00
	5	548.00	489.00
	6	564.00	512.60
	7	523.00	483.55
	8	472.00	439.00
	9	556.00	506.00
	10	542.00	500.00
50_Tao7 R7			
	1	545.00	487.00
	2	582.00	534.00
	3	587.00	483.00
	4	582.00	568.00
	5	500.00	463.00
	6	580.00	508.00
	7	589.00	520.00
	8	560.00	512.00
	9	554.00	506.00
	10	505.00	482.00
50_Tao7 R9			
	1	593.37	543.37
	2	516.99	479.00
	3	538.00	443.00
	4	562.00	525.44
	5	500.00	465.38
	6	548.00	474.00
	7	564.00	495.00
	8	538.00	462.71
	9	515.00	493.00
	10	588.00	515.27
50_Tao9 R1			
	1	465.00	379.00
	2	576.00	512.00
	3	560.00	473.00
	4	534.00	491.00
	5	522.00	444.00
	6	598.00	530.00
	7	610.00	545.00
	8	554.00	473.00
	9	560.00	499.00
	10	452.00	402.00
50_Tao9 R3			
	1	547.00	434.00
	2	552.00	473.00
	3	531.00	436.00
	4	438.00	376.00
	5	490.00	421.00
	6	528.00	466.66
	7	487.00	400.00
	8	500.00	405.00
	9	520.00	426.00
	10	502.40	424.00
50_Tao9 R5			
	1	538.00	440.00
	2	561.00	455.00
	3	477.00	412.00
	4	499.00	449.00
	5	561.81	448.00
	6	504.00	422.00
	7	488.00	400.00
	8	548.67	509.13
	9	543.00	457.42
	10	538.00	448.00
50_Tao9 R7			
	1	516.00	476.00
	2	545.00	477.28
	3	531.00	451.00
	4	614.00	519.00
	5	573.00	473.71
	6	464.73	417.00
	7	504.00	436.00
	8	547.00	431.86
	9	561.00	470.00
	10	521.33	472.33
50_Tao9 R9			
	1	562.00	494.00
	2	532.00	459.66
	3	484.00	417.26
	4	579.00	516.77
	5	559.00	464.06
	6	535.18	457.80
	7	472.55	408.51
	8	530.59	458.00
	9	558.00	468.22
	10	500.00	406.31
100_Tao1 R1			
	1	1080.00	1051.00
	2	1172.00	1143.00
	3	1042.00	1023.00
	4	1130.00	1104.00
	5	1077.00	1046.00
	6	1037.00	1003.00
	7	1073.00	1056.00
	8	1063.00	1030.00
	9	1106.00	1093.00
	10	1011.00	980.00
100_Tao1 R3			
	1	985.00	964.00
	2	1005.00	988.00
	3	1111.00	1090.00
	4	1128.00	1101.00
	5	1099.00	1076.00
	6	1125.00	1108.00
	7	1077.00	1044.00
	8	1149.00	1130.00
	9	1105.00	1074.00
	10	1077.00	1058.00
100_Tao1 R5			
	1	1169.00	1161.00
	2	1126.00	1122.00
	3	1124.00	1116.00
	4	1094.00	1079.00
	5	1099.00	1090.00
	6	1133.00	1118.00
	7	1108.00	1081.00
	8	1102.00	1075.00
	9	1131.00	1119.00
	10	1060.00	1031.00
100_Tao1 R7			
	1	1039.00	1035.00
	2	1047.00	1045.00
	3	1078.00	1076.00
	4	1119.00	1110.00
	5	1001.00	995.00
	6	1061.00	1061.00
	7	1141.00	1134.00
	8	1061.00	1059.00
	9	1105.00	1098.00
	10	1147.00	1139.00
100_Tao1 R9			
	1	1163.00	1161.00
	2	1047.00	1047.00
	3	1045.00	1045.00
	4	1183.00	1183.00
	5	1037.00	1033.00
	6	1046.00	1042.00
	7	1125.00	1123.00
	8	1090.00	1090.00
	9	1173.00	1171.00
	10	1118.00	1108.00
100_Tao3 R1			
	1	1021.00	1006.00
	2	1109.00	1070.00
	3	977.00	951.00
	4	1009.00	979.00
	5	1014.00	994.00
	6	1085.00	1042.00
	7	1103.00	1066.00
	8	1098.00	1072.00
	9	1110.00	1090.00
	10	1047.00	1022.00
100_Tao3 R3			
	1	1052.00	1026.00
	2	1070.00	1043.00
	3	1111.00	1071.00
	4	1103.00	1075.00
	5	1061.00	1036.00
	6	1011.00	970.00
	7	983.00	930.00
	8	1054.00	1031.00
	9	947.00	925.00
	10	1031.00	1011.00
100_Tao3 R5			
	1	1040.00	1013.00
	2	1116.00	1094.00
	3	1008.00	992.00
	4	1252.00	1228.00
	5	1160.00	1137.00
	6	1074.00	1046.00
	7	1104.00	1082.00
	8	1182.00	1137.00
	9	1018.00	993.00
	10	1051.00	1039.00
100_Tao3 R7			
	1	1185.00	1161.00
	2	1059.00	1037.00
	3	1116.00	1102.00
	4	1034.00	1022.00
	5	1076.00	1072.00
	6	1235.00	1219.00
	7	1082.00	1070.00
	8	1129.00	1106.00
	9	1112.00	1085.00
	10	945.00	919.00
100_Tao3 R9			
	1	1094.00	1088.00
	2	1134.00	1115.00
	3	1062.00	1060.00
	4	1080.00	1054.00
	5	1092.00	1084.00
	6	1080.00	1076.00
	7	1101.00	1096.00
	8	1087.00	1079.00
	9	1069.00	1051.00
	10	1146.00	1142.00
100_Tao5 R1			
	1	1226.00	1191.00
	2	1036.00	987.00
	3	1005.00	980.00
	4	1082.00	1030.00
	5	1062.00	1006.00
	6	1112.00	1061.00
	7	1039.00	998.00
	8	1131.00	1088.00
	9	1025.00	988.00
	10	1147.00	1107.00
100_Tao5 R3			
	1	1013.00	969.00
	2	1044.00	990.00
	3	1068.00	1024.00
	4	1136.00	1098.00
	5	993.00	955.00
	6	1151.00	1082.00
	7	1170.00	1136.00
	8	985.00	955.00
	9	1194.00	1162.00
	10	1041.00	999.00
100_Tao5 R5			
	1	1064.00	1034.00
	2	1059.00	1011.00
	3	1048.00	1013.00
	4	1140.00	1099.00
	5	1136.00	1089.00
	6	1148.00	1118.44
	7	1164.00	1115.00
	8	1105.00	1068.00
	9	1170.00	1125.00
	10	1145.00	1111.00
100_Tao5 R7			
	1	1034.00	1010.00
	2	1041.00	1011.00
	3	995.00	979.00
	4	1170.00	1137.00
	5	1070.00	1049.00
	6	1036.00	996.00
	7	1152.00	1125.00
	8	1114.00	1069.00
	9	1174.00	1152.00
	10	1115.00	1077.00
100_Tao5 R9			
	1	1118.00	1066.00
	2	1190.00	1150.00
	3	1114.00	1091.00
	4	1019.00	980.00
	5	1089.00	1075.00
	6	1142.00	1126.00
	7	1128.00	1112.00
	8	1038.00	1031.00
	9	1090.00	1081.00
	10	1022.00	1007.00
100_Tao7 R1			
	1	1062.00	1015.00
	2	1095.00	1038.00
	3	1059.00	1014.00
	4	1090.00	1020.00
	5	1021.00	957.00
	6	964.00	938.00
	7	1103.00	1039.00
	8	1100.00	1035.00
	9	1135.00	1088.00
	10	1013.00	966.00
100_Tao7 R3			
	1	1139.00	1085.00
	2	1055.00	1000.00
	3	1169.00	1123.00
	4	1146.00	1050.00
	5	1071.00	955.00
	6	1103.00	1020.00
	7	1054.00	986.00
	8	1137.00	1052.00
	9	1094.00	1031.00
	10	1025.00	961.00
100_Tao7 R5			
	1	1028.00	962.00
	2	1222.00	1171.00
	3	1093.00	1040.00
	4	1085.00	1004.00
	5	1065.00	1022.00
	6	1116.00	1043.00
	7	1193.00	1128.00
	8	1206.00	1051.00
	9	1112.00	1025.00
	10	1115.00	1061.00
100_Tao7 R7			
	1	1070.00	972.00
	2	1191.00	1151.00
	3	1163.00	1075.00
	4	1135.00	1053.00
	5	1074.00	982.41
	6	1079.00	1024.00
	7	1085.00	941.80
	8	1121.00	1061.00
	9	1123.00	1025.45
	10	1058.00	1001.00
100_Tao7 R9			
	1	1075.00	984.00
	2	1206.00	1138.23
	3	1029.00	969.00
	4	1189.00	1082.00
	5	1136.00	988.94
	6	1075.00	1018.00
	7	1136.00	1037.00
	8	1142.00	1069.00
	9	1122.00	1014.00
	10	1104.00	970.11
100_Tao9 R1			
	1	1069	991.00
	2	1042	943.00
	3	1044	945.00
	4	1073	981.00
	5	1014	935.00
	6	1046	964.00
	7	982	894.00
	8	1038	914.00
	9	1065	967.00
	10	1012	914.00
100_Tao9 R3			
	1	1051	868.00
	2	1028.00	886.00
	3	1012.00	876.00
	4	1063.00	966.00
	5	1071.00	935.00
	6	1049.00	889.00
	7	1055.00	884.00
	8	1020	867.00
	9	1038	962.00
	10	1038	874.00
100_Tao9 R5			
	1	1001.00	824.00
	2	968.00	803.00
	3	1045.46	914.00
	4	1224.00	1013.00
	5	1066.00	884.00
	6	1085.00	913.75
	7	1099.00	897.00
	8	1120.29	999.25
	9	1163.00	1011.00
	10	1151.00	953.25
100_Tao9 R7			
	1	1057.00	943.91
	2	1062.00	909.00
	3	1104.00	883.75
	4	1083.00	937.79
	5	1071.00	884.25
	6	1038.00	882.20
	7	1007.00	851.00
	8	1036.00	888.00
	9	1058.00	904.00
	10	1163.00	966.28
100_Tao9 R9			
	1	1079.00	839.33
	2	1008.00	894.77
	3	1087.00	926.00
	4	1041.00	875.17
	5	1111.00	969.84
	6	1128.44	959.18
	7	1184.00	976.66
	8	1114.00	974.00
	9	1094.00	917.96
	10	1113.00	924.44