Construction of integrated optimization system with discrete structure and Multi-Objective and optimal design of electromechanical devices

2019 Fiscal Year Final Research Report

• Project/Area Number: 16K06046
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Design engineering/Machine functional elements/Tribology
• Research Institution: Tokyo Metropolitan University
• Principal Investigator: Tsuchiya Junichi 首都大学東京, システムデザイン研究科, 助教 (70155406)
• Co-Investigator(Kenkyū-buntansha): 安田 恵一郎 首都大学東京, システムデザイン研究科, 教授 (30220148)
• Project Period (FY): 2016-04-01 – 2020-03-31
• Keywords: 最適設計 / 最適化 / 電磁界シミュレータ / メタヒューリスティクス / モデリング / 統合的最適化

Outline of Final Research Achievements

The construction of "Integrated optimization system" that was a new frame for optimization that integrated the simulation modeling Metaheuristicses was proposed for a single purpose and continuous type optimization problem. To the improvement of generality and the practicality, the development of the optimization system that considers the discrete structure of decision variables and the multi-objectiveness of the objective function is an important problem. In this research, for the purpose of improvement of the practicality and the generality, a study on the construction and application of a new "integrated optimization system" that considers the discrete structure of decision variables and the multi-objectiveness of objective function, the construction and application of a new "integrated optimization system" that considers the discrete structure of decision variables and the multipurpose of objective functions are researched, and, the usefulness and the practicality are verified.

Free Research Field

電気・電子工学

Academic Significance and Societal Importance of the Research Achievements

決定変数の離散構造と目的関数の多目的性をも考慮した最適化システムの構築が実現できれば，さまざまな分野に存在する最適化問題に対する汎用的かつ実用的な解法ツールを提供することが可能となる。結果として，既存の機器やシステムの性能向上や新たな機器やシステムの開発，さらに，その性能向上により，省エネルギーや環境保全にも貢献することができる。