tomohiro hayashida

Last Updated :2024/02/02

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
E-mail
hayashidahiroshima-u.ac.jp

Basic Information

Major Professional Backgrounds

  • 2019/04/01, 2019/09/30, Prefectural University of Hiroshima, Adjunct Instructor
  • 2021/04/01, Hiroshima University TAOYAKA Program for creating a flexible, enduring, peaceful society Organization of the Leading Graduate Education Program, Academic Mentor
  • 2021/04/01, Hiroshima University AI data Innovation Education and Research Center, Researcher
  • 2019/04/01, Digital Monodukuri (Manufacturing) Education and Research Center, Researcher
  • 2006/04/01, 2007/03/31, Hiroshima University, Graduate School of Engineering, Research Associate
  • 2007/04/01, 2010/03/31, Hiroshima University, Graduate School of Engineering, Assistant Professor
  • 2010/04/01, 2014/01/31, Hiroshima University, Institute of Engineering, Assistant Professor
  • 2014/02/01, 2015/04/30, Hiroshima University, Institute of Engineering, Assistant Professor
  • 2015/05/01, 2020/03/31, Hiroshima University, Graduate School of Engineering, Associate Professor
  • 2020/04/01, Hiroshima University, Graduate School of Advanced Science and Engineering, Associate Professor

Academic Degrees

  • Doctor of Engineering, Hiroshima University
  • Master of Engineering, Hiroshima University

Research Fields

  • Complex systems;Social / Safety system science;Social systems engineering / Safety system

Research Keywords

  • Simulation analysis
  • Game theory
  • Decision making
  • Machine Learning

Educational Activity

Course in Charge

  1. 2023, Undergraduate Education, 3Term, Electric Circuit Theory I
  2. 2023, Undergraduate Education, 2Term, Exercises in Systems Planning and Control
  3. 2023, Undergraduate Education, 1Term, Social System Engineering
  4. 2023, Graduate Education (Master's Program) , 1Term, Special Exercises on Electrical, Systems, and Control Engineering A
  5. 2023, Graduate Education (Master's Program) , 1Term, Special Exercises on Electrical, Systems, and Control Engineering A
  6. 2023, Graduate Education (Master's Program) , 2Term, Special Exercises on Electrical, Systems, and Control Engineering A
  7. 2023, Graduate Education (Master's Program) , 2Term, Special Exercises on Electrical, Systems, and Control Engineering A
  8. 2023, Graduate Education (Master's Program) , 3Term, Special Exercises on Electrical, Systems, and Control Engineering A
  9. 2023, Graduate Education (Master's Program) , 4Term, Special Exercises on Electrical, Systems, and Control Engineering A
  10. 2023, Graduate Education (Master's Program) , 3Term, Special Exercises on Electrical, Systems, and Control Engineering B
  11. 2023, Graduate Education (Master's Program) , 3Term, Special Exercises on Electrical, Systems, and Control Engineering B
  12. 2023, Graduate Education (Master's Program) , 4Term, Special Exercises on Electrical, Systems, and Control Engineering B
  13. 2023, Graduate Education (Master's Program) , 4Term, Special Exercises on Electrical, Systems, and Control Engineering B
  14. 2023, Graduate Education (Master's Program) , 1Term, Special Exercises on Electrical, Systems, and Control Engineering B
  15. 2023, Graduate Education (Master's Program) , 2Term, Special Exercises on Electrical, Systems, and Control Engineering B
  16. 2023, Graduate Education (Master's Program) , Academic Year, Special Study on Electrical, Systems, and Control Engineering
  17. 2023, Graduate Education (Master's Program) , Academic Year, Special Study on Electrical, Systems, and Control Engineering
  18. 2023, Graduate Education (Master's Program) , Academic Year, Special Study on Electrical, Systems, and Control Engineering
  19. 2023, Graduate Education (Master's Program) , Intensive, Advanced Learning Systems
  20. 2023, Graduate Education (Doctoral Program) , Academic Year, Special Study on Electrical, Systems, and Control Engineering
  21. 2023, Graduate Education (Doctoral Program) , Academic Year, Special Study on Electrical, Systems, and Control Engineering

Research Activities

Academic Papers

  1. Adaptive data sharing methods for multi-agent systems using deep reinforcement learning, International Journal of Computational Intelligence Studies, 11(Nos 3/4), 176-199, 20221201
  2. Profit maximization of a supplyu chain with uncertain demands taking into account risk attitude of a manager - fractile model approach, 35(10), 237-248, 20221001
  3. Parallel distibuted genetic programming using long-term memory for dynamic scheduling problems, 35(5), 93-100, 20220501
  4. A two-stage linear production planning model with partial cooperation under stochastic demands, ANNALS OF OPERATIONS RESEARCH, 320(1), 293-324, 202301
  5. Averaged dual solution for linear production games and its characterization, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 31(2), 523-555, 202306
  6. Cooperative voltage management by demand resources and fair payoff allocation for distribution systems, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 145, 202302
  7. Data envelopment analysis approaches for two-level production and distribution planning problems, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 300(1), 255-268, 20220701
  8. ★, Multiattribute utility analysis for policy selection and financing for the preservation of the forest, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 200(3), 833-843, 20100201
  9. Sensitivity analysis incorporating fuzzy evaluation for scaling constants of multiattribute utility functions, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 18(3), 383-396, 201009
  10. ★, Agent-based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum, Proceedings of the 6th International Conference on Decision Support for Telecommunications and Information Societ {DSTIS 2007), 11, 20070718
  11. ★, Agent-based Simulation Analysis for the Ultimatum Bargaining, Proceedings of the 6th International Conference on Decision Support for Telecommunications and Information Society (DSTIS 2007), 13, 20070718
  12. Artificial adaptive agent model characterized by learning and fairness in the ultimatum games, Journal of Telecommunications and Information Technology, 36-44, 20071101
  13. A tabu search algorithm for k-minimum spanning tree problems, Proceedings of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems, 1524-1529, 20060920
  14. A tabu search algorithm for nonlinear minimum spanning tree problems, Proceedings of International MultiConference of Engineers and Computer Scientists 2007, 2357-2360, 20070321
  15. A hybrid algorithm based on tabu search and ant colony optimization for k-minimum spanning tree problems, EXPERT SYSTEMS WITH APPLICATIONS, 39(5), 5681-5686, 201204
  16. Multiobjective Evolutionary Optimization of Training and Topology of Recurrent Neural Networks for Time-Series Prediction, COMPUTER JOURNAL, 55(3), 325-336, 201203
  17. Simulation Analysis for Choice of Binary Lotteries, COMPUTATIONAL ECONOMICS, 41(2), 195-211, 201302
  18. Simulation Analysis for Network Formulation, COMPUTATIONAL ECONOMICS, 43(3), 371-394, 201403
  19. Development of interactive support system using spreadsheet based on multiattribute utility analysis,, The 22nd International Conference on Multiple Criteria Decision Making (MCDM 2013) , Malaga , Spain, 187, 2013
  20. Multiattribute utility analysis using strict preference relations elicited from a decision maker,, The 22nd International Conference on Multiple Criteria Decision Making (MCDM 2013), 287, 2013
  21. Structural optimization of neural network for data prediction using dimensional compression and tabu search,, 6th International Workshop on Computational Intelligence & Applications Proceedings (IWCIA 2013), 85-88, 2013
  22. ★, XCS with an internal action table for non-Markov environments, International Journal of Advanced Computer Science and Applications, 5(6), 162-172, 20140601
  23. Multi-store food retailing problem with outsourcing purchase operation: a case study in Japan, International Journal of Operational Research, 21(3), 293-321, 20141101
  24. Improvement of anticipatory classifier system with internal memory, Proceedings of 15th International Symposium on Flexible Automation (ISFA2014), 1-8, 20140713
  25. Aliased states discerning in POMDPs and improved anticipatory classifier system, Procedia Computer Sicence(Proceedings of the 18th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES2014)), 35, 34-43, 20140915
  26. Agent-based simulation for simultaneous uiltimatum games, Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC2014), 521-526, 20141005
  27. Agent-based simulation analysis for networks formation using PSO, 2014 IEEE 7th International Workshop on Computational Intelligence and Applications Proceedings (IWCIA 2014), 159-163, 20141107
  28. Structural optimization of neural networks and training data selection method for prediction, 2014 IEEE 7th International Workshop on Computational Intelligence and Applications Proceedings (IWCIA 2014), 171-176, 20141107
  29. Simulation analysis for equilibrium selection in a coordination game, Proceedings of the Fuzzy System Symposium, 26(0), 233-233, 2010
  30. Impact of Retailer and Consumer Behavior on Voltage in Distribution Network Under Liberalization of Electricity Retail Market, ELECTRICAL ENGINEERING IN JAPAN, 194(4), 27-41, 201603
  31. A core-allocation for a network restricted linear production game, ANNALS OF OPERATIONS RESEARCH, 238(1-2), 389-410, 201603
  32. Electricity retail market model with flexible price settings and elastic price-based demand responses by consumers in distribution network, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 81, 371-386, 201610
  33. Agent-based simulations for examining stability and efficiency of societies with respect to partnership structures, Journal of Contemporary Management, 5, 1-12, 20160101
  34. An intelligent home energy management system with classifier system, 2015 IEEE 8th International Workshop on Computational Intelligence & Applications Proceedings (IWCIA 2015), 9-14, 20151106
  35. The multi-objective optimization of distribution system management in deregulated electricity market, 2015 IEEE 8th International Workshop on Computational Intelligence & Applications Proceedings (IWCIA 2015), 155-160, 20151106
  36. A study for retailer's risk hedge considering responses of consumers in electricity deregulation, 2015 IEEE 8th International Workshop on Computational Intelligence & Applications Proceedings (IWCIA 2015), 167-172, 20151106
  37. Multiattribute decision analysis using strict preference relations, ANNALS OF OPERATIONS RESEARCH, 245(1-2), 379-400, 201608
  38. Cooperative particle swarm optimization in distance-based clustered groups, Journal of Software Engineering and Applications (JSEA), 10(1), 143-158, 201702
  39. System Change Detection Method Using Recurrent Neural Networks, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 101(1), 39-46, 20180101
  40. Distribution network management under electricity deregulation using evolutionary many-objective optimization, JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 25(1-2), 17-30, 2018
  41. Decision making of electricity retailer with multiple channels of purchase based on fractile criterion with rational responses of consumers, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 105, 877-893, 201902
  42. Aggregation of preference information using neural networks in group multiattribute decision analysis, IMA JOURNAL OF MANAGEMENT MATHEMATICS, 29(3), 275-296, 201807
  43. A development of an equilibrium analysis model between electricity retailers under competitive environment, ELECTRICAL ENGINEERING IN JAPAN, 207(1), 24-35, 201904
  44. Structural optimization of deep belief network by evolutionary computation methods including Tabu search, Transactions on Machine Learning and Artificial Intelligence, 6(1), 69-80, 201712
  45. Enhancing single speaker recognition using deep belief network, Transactions on Machine Learning and Artificial Intelligence, 6(4), 1-20, 201809
  46. Decision Making of Electricity Retailer with Multiple Channels of Purchase based on Fractile Criterion with Rational Responses of Consumers, International Journal of Electrical Power and Energy Systems, 105, 877-893, 201902
  47. Hypervolume-based multi-objective reinforcement learning: interactive approach, Advances in Science, Technology and Engineering Systems Journal (ASTESJ), 4(1), 93-100, 201902
  48. A many-objective evolutionary algorithm incorporating decision maker's preference and its application to management of the electricity distribution network, JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 26(3-4), 165-186, 201905
  49. ★, Development of a classifier system for a continuous environment, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 102(10), 17-25, 201910
  50. Distribution line downsizing based on a set of non-dominated solutions for a network reconfiguration problem of an electric distribution system with many objectives, OPTIMIZATION AND ENGINEERING, 22(2), 1117-1139, 20210601
  51. Decision making for electricity retailers in fractile model from multiple markets with rational responses of consumers, International Journal of Energy Technology and Policy, 16(4), 413-432, 20200601