Global multiobjective nonlinear programming through particle swarm optimization and its extensions in fuzzy stochastic environment
| Project/Area Number |
24710167
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Hiroshima University |
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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) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | OR / 多基準意思決定 / 多目的意思決定 / 粒子群最適化 / 非線形計画法 / 多目的計画法 |
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| Research Abstract |
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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Report
(3 results)
Research Products
(22 results)
