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Search Algorithm Mapping of Evolutionary Multi-objective Optimization and Its Utilization on Unknown Problems
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Search Algorithm Mapping of Evolutionary Multi-objective Optimization and Its Utilization on Unknown Problems

01/04/2017–31/03/2020

抄録

Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Young Scientists (B), Fund Type: competitive_research_funding, Overall Grant Amount: - (direct: 3200000, indirect: 960000) For multiple optimization problems with different characteristics, this research developed a mapping method of these optimization problems into a two-dimensional space to visually represent relationship strengths among these optimization problems. Also, this research developed a mapping method of optimization algorithms based on evolutionary computation into a two-dimensional space to visually represent relationship strengths among these optimization algorithms. Furthermore, based on these maps and their dada, this research developed an estimation method of the position of an unknown optimization problem on the optimization problem map generated by known optimization problems.

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url
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17K12750表示

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1 レコードビュー

詳細

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