Aid for Decision Making in Multi-Objective Design Optimization Based on Learning and Game Theories

2014 Fiscal Year Final Research Report

• Project/Area Number: 24686015
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Partial Multi-year Fund
• Research Field: Engineering fundamentals
• Research Institution: Tohoku University
• Principal Investigator: SHIMOYAMA Koji 東北大学, 流体科学研究所, 准教授 (80447185)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 意思決定

Outline of Final Research Achievements

This study has developed an approach for decision making, which can choose appropriate design candidates to be adopted by designers from many optimal solutions available in multi-objective optimization. This approach consists of new modules for distinguishing a trade-off structure based on leaning theory and for presenting neutral design candidates based on game theory together with the existing multi-objective design optimization module. This approach has been applied to test problems and real-world design problem, which demonstrates superior performance and effectiveness compared to conventional approaches.

Free Research Field

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