Large scale multiobjective metaheuristics optimization under random and fuzzy information with applications to industry

2014 Fiscal Year Final Research Report

• Project/Area Number: 24310113
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Hiroshima University
• Principal Investigator: SAKAWA MASATOSHI 広島大学, 工学(系)研究科(研究院), 特任教授 (70093507)
• Co-Investigator(Kenkyū-buntansha): NISHIZAKI Ichiro 広島大学, 工学研究院, 教授 (80231504) ; MATSUI Taktshi 広島大学, 工学研究院, 助教 (50512505)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 確率計画法 / ファジィ計画法 / 多目的計画法 / 大規模計画法 / メタヒューリスティックス / 最適化 / 対話型意思決定

Outline of Final Research Achievements

In this research, we dealt with large scale multiobjective nonlinear programming problems involving randomness and fuzziness and proposed optimization methods on the basis of metaheuristics such as genetic algorithms, particle swarm optimization, tabu search and so forth. Considering the imprecise nature inherent in human judgements, interactive decision making methods for the formulated problems were presented. The feasibility and effectiveness of the proposed method were demonstrated including industrial applications.

Free Research Field

システム工学