Construction of General Design Strategy and Algorithm Design of Metaheuristics Based on Structure Analysis
| Project/Area Number |
25330291
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Soft computing
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
AIYOSHI Eitaro 慶應義塾大学, 理工学部, 教授 (90137985)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 最適化 / メタヒューリスティクス / 近接最適性原理 / 連続型最適化 / 離散型最適化 / アルゴリズム |
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| Outline of Final Research Achievements |
Heuristic optimization methods (metaheuristics) such as Genetic Algorithm (GA), which method search an optimal solution by using only information of decision variables and evaluation values, are expected as a practical optimization method. While the algorithm structure of metaheuristics was analyzed and a design methodology for new metaheuristics was constructed, the performance of the developed method was verified on the basis of some numerical simulations.
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Report
(4 results)
Research Products
(26 results)
