2015 Fiscal Year Final Research Report
Interactive fuzzy multiobjective decision making through global particle swarm optimization under fuzzy stochastic enverionment and its applications
Project/Area Number |
26750115
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Social systems engineering/Safety system
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Research Institution | Hiroshima University |
Principal Investigator |
Matsui Takeshi 広島大学, 工学(系)研究科(研究院), 助教 (50512505)
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Project Period (FY) |
2014-04-01 – 2016-03-31
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Keywords | OR / 多目的意思決定 |
Outline of Final Research Achievements |
In this research project, keeping up with soaring demand for multiobjective nonlinear programming which has several conflict objectives rather than single objective nonlinear one, we generalize a particle swarm optimization method for nonlinear programming problems to multiobjective one. In addition, we expand several multiobjective nonlinear programming problems under fuzziness and randomness introducing fuzzy ambiguity and stochastic uncertainty.
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Free Research Field |
社会・安全システム科学
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