International conference proceedings - Watanabe Shinya

21. A New Approach Based on Simplifying Problem and Partially Fixing Customers Sequence for Large Scale Vehicle Routing Problem

    Shinya Watanabe, Tetsuya Sato and Kazutoshi Sakakibara，EUROSIM 2016 (9th Congress on Modelling and Simulation)，(p.1017 ～ 1022)，2016.09

    

22. Physical Construction of Local Design Information for Sounding Hybrid Rocket Design via Correlation-based Information Hierarchical Structure

    Kazuhisa Chiba, Shinya Watanabe, and Masahiro Kanazaki，2016 IEEE Congress on Evolutionary Computation (CEC2016)，Article Number:E-16721，IEEE，2016.07，Vancouver

    

23. A Specialized Approach based on Integration of Customers and Deliberate Restoration Mechanisms for Very Large Scale Vehicle Routing Problem

    Shinya Watanabe, Tetsuya Sato and Kazutoshi Sakakibara，Proceedings of the International Conference on Electronics and Software Science (ICESS2015)，(p.107 ～ 117)，2015.07，高松

    

24. A Proposal on a Decomposition-Based Evolutionary Multiobjective Optimization for Large Scale Vehicle Routing Problems

    Shinya Watanabe,Masashi Ito and Kazutoshi Sakakibara，Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC2015)，(p.2581 ～ 2588)，2015.05，仙台市

    

25. An Evolutionary Multi-criterion Optimization Approach Utilizing the Characteristics of Strength Distribution for Sparse CT Image Reconstruction

    Kazuma Nagafune, Shinya Watanabe and Hiroyuki Shioya，Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2014)，(p.353 ～ 358)，2014.11，Kitakyushu, Japan

    

26. A New Liner Relaxation Algorithm for Sum of Linear Ratios Problem with Lower Dimension

    Yongwen Hu, Jianming Shi and Shinya Watanabe，The Fourth Asian Conference on Nonlinear Analysis and Optimization (ICM Satellite Conference 2014)，2014.08，Taipei Taiwan

    

27. A Proposal on Analysis Support System Based on Association Rule Analysis for Non-Dominated Solutions

    Shinya Watanabe, Yuta Chiba and Masahiro Kanazaki，2014 IEEE Congress on Evolutionary Computation (CEC2014)，(p.CDROM-paper(E-14855) ～ )，2014.07，Beijing Chaina

    

28. A new local search method with the guarantee of local pareto optimality

    Shinya Watanabe, Naoki Yokouchi，The 6th International Conference on Soft Computing and Intelligent Systems&The 13th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2012)，(p.CD-ROM Proceedings (SCIS&ISIS 2012) ～ )，2012.11

    

29. Vector quantization for image compression using fuzzy clustering algorithm and af-finity propagation

    Maya Sasaki, Junji Maeda, Shinya Watanabe, and Yukinori Suzuki，Proceedings International Conference of Information Science and Computer Applications 2012，(p.235 ～ 240)，2012.11

    

30. Phase retrieval based on an Evolutionary Multicriterion Optimisation method

    Shinya Watanabe, Hiroyuki Shioya, Kazutoshi Gohara，Proceedings of the IEEE Congress on Evolutionary Computation(CEC 2010)，(p.USB Proceedings ～ )，2010

    

31. Development of a multi-granularity design support system using hierarchical clustering for non-dominated solutions

    Shinya Watanabe, Shogo Ohe and Ryoujiro Minato，World Automation Congress (WAC 2010)，(p.CD-ROM Proceedings (IFMIP88) ～ )，2010

    

32. Development of a Design Support System that can Efficiently Utilize Non-Dominated Solutions

    Shinya Watanabe and Ryojiro Minato，SCIS&ISIS 2008，(p.FR-A4-3 ～ )，2008

    

33. A Methodology Using EMO for Parameter Estimation of SVM Kernel Function

    Shinya Watanabe and Yukiyo Kimura，2008 IEEE Conference on Soft Computing in Industrial Applications(SMCia/08)，(p.211 ～ 216)，IEEE，2008

    

34. A multiobjectivization approach for vehicle routing problems

    S. Watanabe and K. Sakakibara，Evolutionary Multi-Criterion Optimization. Fourth International Conference，vol.Lecture Notes in Computer Science.，(Volume 4403)，(p.660 ～ 672)，Springer.，2007

    

35. Multi-objective approaches in a single-objective optimization environment

    S. Watanabe and K. Sakakibara，2005 IEEE Congress on Evolutionary Computation (CEC2005)，(p.1714 ～ 1721)，2005

    

36. The effectiveness of Multiobjective optimizer in single-objective optimization enviroment

    S. Watanabe and K. Sakakibara，The Genetic and Evolutionary Computation Conference (GECCO'2005)，(p.829 ～ 830)，2005

    

37. SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2

    Mifa KIM, Tomoyuki Hiroyasu and Mitsunori Miki, Shinya Watanabe，Parallel Problem Solving from Nature - PPSN VIII:8th International Conference(Lecture Notes in Computer Science)，vol.3242，(p.742 ～ 751)，Springer.，2004

    

38. Multi-Objective Rectangular Packing Problem and Its Applications

    Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki，Second International Conference on Evolutionary Multi-Criterion Optimization (EMO' 03)，vol.Lecture Notes in Computer Science.，(2632)，(p.565 ～ 577)，Springer.，2003

    

39. DCMOGA: Distributed Cooperation model of Multi-Objective Genetic Algorithm

    Tamaki Okuda, Tomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe，Advances in Nature-Inspired Computation: The PPSN VII Workshops，(p.25 ～ 26)，2002

    

40. Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems

    Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki，Proceedings of the 4thAsia-Pacific Conference on Simulated Evolution And Learning (SEAL-2002)，(p.198 ～ 202)，2002