Interactive fuzzy multiobjective decision making through global particle swarm optimization under fuzzy stochastic enverionment and its applications
| Project/Area Number |
26750115
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Social systems engineering/Safety system
|
|---|
| Research Institution | Hiroshima University |
|---|
Principal Investigator |
Matsui Takeshi 広島大学, 工学(系)研究科(研究院), 助教 (50512505)
|
|---|
| Project Period (FY) |
2014-04-01 – 2016-03-31
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | OR / 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 |
|---|
| 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.
|
Report
(3 results)
Research Products
(4 results)
