International conference proceedings - Watanabe Shinya

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  1. On-demand correlation-based information hierarchical structuring method (CIHSM) for non-dominated solutions

    Shinya Watanabe, Sho Nakano, Kazuhisa Chiba and Masahiro Kanazaki，2016 IEEE Congress on Evolutionary Computation (CEC2016)，Article Number:E-16702，IEEE，2016.07，Vancouver

  2. The effectiveness of considering the intrinsic characteristics for nurse scheduling problem

    Junya Inafune and Shinya Watanabe，Proccedings of Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2016)，(p.36 ～ 41)，IEEE，2016.08，Sapporo

  3. Tomato Phenotyping from Daily Video Footage Using 3D Reconstruction Point Cloud and Growth Status Assessment

    Warut Timprae, Stefan Baar, Satoshi Kondo, Yoshifumi Okada, Kazuhiko Sato, Shinya Watanabe， Proceedings of AROB-ISBC-SWARM2025，(p.1319 ～ 1324)，2025.01，Beppu, JAPAN

  4. Tomato Fruit Evolution and Maturity Estimation from RGB Time-Lapse Observation via Modern Structure from Motion and Instance Segmentation

    Stefan BAAR, Yosuke KOBAYASHI, and Shinya WATANABE，2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，(p.1 ～ 6)，Article Number:T-1-B-3，2024.11

  5. Filtrate Estimation from Filter Press Process in a Water Treatment Facility based on Image Analysis

    Poltak Sandro Rumahorbo,Stefan Baar, Satoshi Kondo, Nobuhiro Yazawa, Hiroki Ito, Jun Sugimoto, Yoshifumi Okada, Kazuhiko Sato, Shinya Watanabe，2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，(p.1 ～ 6)，Article Number:S-1-D-4，2024.11

  6. Multiobjective Branch-And-Cut Method with Shared Cutting Plane Information: A Case Study on Optimizing Garbage Collection

    Tomoki KAHO, Kazutoshi SAKAKIBARA, Mikiharu ARIMURA, and Shinya WATANABE，2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，(p.1 ～ 6)，Article Number:M-1-F-1，2024.11

  7. A Shape-Based Similarity Calculation Method for Cost Estimation of Large Forged Steel Products

    Shunga MATSUO, Satoshi KONDO, Yusuke IMAMURA, Kenji TAKASE, and Shinya WATANABE，2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，Article Number:S-1-D-1，2024.11

  8. Optimization of Garbage Collection Routes as Reference Data in Evidence-Based Policy Making

    Tomoki Kaho, Shinya Watanabe，Proceedings of AROB-ISBC-SWARM2024，(p.1026 ～ 1030)，2024.01，Beppu, JAPAN

  9. Estimation of the flocs condition using floc images in dewatering plant by machine learning

    Atsuki Fukasawa, Shinya Watanabe，Proceedings of AROB-ISBC-SWARM2024，(p.1035 ～ 1040)，2024.01，Beppu, JAPAN

  10. City Assignment by Multi-Objective Evolutionary ficial Neural Networks for Multiple TSP

    Yoshiaki Katada, Shinya Watanabe, Kazuhiro Ohkura，Proceedings of 2023 IEEE Symposium Series on Computational Intelligence (SSCI)，(p.611 ～ 612)，2023，Mexico City, Mexico

  11. Study on the incorporation of PCA into EMO for high dimensional multi-objective problems

    Ryo Sato, Shinya Watanabe and Yoshiaki Katada，2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，2022.11，Ise-Shima,Mie, Japan

  12. Tomato Fruit Maturity Estimation From RGB Images

    Stefan Baar, Yosuke Kobayashi, Tatsuro Horie, Kazuhiko Sato and Shinya Watanabe，Proc. The 11th IEEE Global Conference on Consumer Electronics (GCCE 2022)，2022.10

  13. A New Ensemble Framework based on MOEA/D

    Jiayi Han and Shinya Watanabe，The 2022 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'22)，2022.07，Las Vegas, USA

  14. Performance Study of Double-Niched Evolutionary Algorithm on Multiobjective Knapsack Problems

    Ryoya Osawa, Shinya Watanabe, Tomoyuki Hiroyasu and Satoru Hiwa，2019 IEEE Symposium Series on Computational Intelligence(SSCI2019，(p.1793 ～ 1801)，2019.12，Xiamen

  15. A New Approach to Generate Solutions Combining Crossover and Estimation of Distribution Operators for EMO Algorithm

    Masahide Miyamoto and Shinya Watanabe，2019 IEEE Symposium Series on Computational Intelligence(SSCI2019)，(p.2088 ～ 2095)，2019.12，Xiamen

  16. Study of a dynamic control of aggregate functions in MOEA/D

    Shinya Watanabe and Takanori Sato，The 11th International Conference on Simulated Evolution and Learning(SEAL2017), Lecture Notes in Computer Science LNCS，vol.10593，(p.309 ～ 320)，Springer，2017.11，Shenzhen, China

  17. An approach for supporting system of international logistics based on ontological engineering

    Klairung Ponanan, Hidetsugu Suto and Shinya Watanabe，Proceedings of 2017 International Conference on Biometrics and Kansei Engineering (ICBAKE 2017)，(p.49 ～ 54)，2017.09，Kyoto, Japan

  18. A proposal of a low-dimensional approach based on DIRECT method and t-SNE for single optimization problems with many variables

    Takuya Kaihatsu and Shinya Watanabe，Joint 17th World Congress oflnternational Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017)，(p.1 ～ 6)，Article Number:223，2017.06，大津

  19. A proposal of a new approach for strengthening the search ability of EMO algorithm -SPLASH

    Hibiki Samonji and Shinya Watanabe，Proceedings of The 2016 International Symposium on Nonlinear Theory and Its Applications (NOLTA2016)，(p.447 ～ 450)，2016.11，Yugawara, Japan

  20. A proposal on a new efficient framework dedicated to large scale vehicle routing problems -FOCUS-

    Masashi Ito, Shinya Watanabe and Kazutoshi Sakakibara，Proceedings of The 2016 International Symposium on Nonlinear Theory and Its Applications (NOLTA2016)，(p.451 ～ 454)，2016.11，Yugawara, Japan

  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

  41. PARALLEL EVOLUTIONARY MULTI-CRITERION OPTIMIZATION FOR MOBILE TELECOMMUNICATION NETWORKS OPTIMIZATION

    Shinya Watanabe,Tomoyuki Hiroyasu and Mitsunori Miki，Proceedings of the EUROGEN2001 Conference，(p.19 ～ 21)，2001

  42. The New Model of Parallel GeneticAlgorithm in Multi-Objective Optimization Problems -Divided Range Multi-Objective Genetic Algorithms

    Tomoyuki HIROYASU，Mitsunori MIKI， Shinya WATANABE，IEEE Proceedings of the 2000 Congress on Evolutionary Computation，(p.333 ～ 340)，2000

  43. Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems

    Shinya WATANABE, Tomoyuki HIROYASU，Mitsunori MIKI，The 2000 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA2000)，(p.667 ～ 673)，2000

  44. DividedRange Genetic Algorithms in Multiobjective Optimization Problems

    Tomoyuki HIROYASU，Mitsunori MIKI， Shinya WATANABE，Proceedings of International Workshop on Emergent Synthesis， IWES' 99，(p.57 ～ 66)，1999

  45. Distributed Genetic Algorithms with a New Sharing Approach in Multiobjective Optimization Problems

    Tomoyuki HIROYASU，Mitsunori MIKI， Shinya WATANABE，IEEE Proceedings of the 1999 Congress on Evolutionary Computation，(p.69 ～ 76)，1999

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