設計変数における不確定変動を考慮したminimax設計 : 第2報, GAによるパレート最適解的な設計解集合の探索

概要

論文の詳細を見る
This paper presents a new design method to systems which have uncertain variation in their design variables. We convert the design problem of above systems to a multiobjective optimization problem which improves a nominal performance and a difference between the nominal performance and the worst one. A genetic algorithm is applied to get a set of design solutions which are similar to the Pareto-optimal solutions of the multiobjective optimization problem. An approximate response function based on an orthogonal polynomial expression is used to calculate the worst performance quickly. As a numerical example, we study a design problem which improves a transient response of an oil hydraulic circuit. The validity of the proposed method is demonstrated by this example, and characteristics of the obtained solutions set are investigated.
一般社団法人日本機械学会の論文
1998-10-25