Game algorithm for reliability multi-objective design optimization based on adaptive behavior

被引：0
|
作者：
Feng J. [1 ,2 ]
Zhang J. [1 ,2 ]
Qiu J. [1 ,2 ]
机构：
[1] School of Reliability and Systems Engineering, Beihang University, Beijing
[2] Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Adaptive behavior; Automobile brake; Game; Multi-objective optimization; Prduct design; Reliability; Strategy set;
D O I：
10.13196/j.cims.2019.03.020
中图分类号：
学科分类号：
摘要：
To solve the problem of reliability multi-objective design optimization, an adaptive behavior-based game algorithm was proposed by considering the dynamic characteristics of players' behaviors in the game process. Each design objective was regarded as a player, and the random design variable set was decomposed into the strategy sets of players through the fuzzy clustering analysis for the influence factors of random design variables about the objective functions. The adaptive behavior rule was established. Then, the behavior and the mapping relationship between the objective function and the payoff function of each player were adjusted before the new round of game based on the rule. After multi-round of games, the equilibrium solution was obtained based on the convergence criterion. The design results of the automobile brake indicated that the proposed algorithm had the higher calculation efficiency by comparing with the competitive game and cooperative game. © 2019, Editorial Department of CIMS. All right reserved.
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收藏
页码：736 / 742
页数：6
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