基于进化搜索策略的并行子空间设计算法  

Concurrent Subspace Design Method Based on the Evolutionary Search Strategy

作　　者：孙丕忠[1] 夏智勋[1] 赵建民[1] 

机构地区：[1]国防科技大学航天与材料工程学院,湖南长沙410073

出　　处：《国防科技大学学报》2004年第3期74-77,共4页Journal of National University of Defense Technology

摘　　要：并行子空间设计是一种有效的多学科设计优化算法,但其搜索策略存在两点不足:一是寻找全局最优解能力有限,二是计算复杂。为弥补上述不足,将遗传算法应用到CSD算法中,提出了一种基于进化搜索策略的CSD算法。介绍了该算法的设计流程,应用该算法对一测试问题进行了优化,取得了满意结果。The concurrent subspace design is an effective method in multidisciplinary design optimization, but its search strategy has two shortcomings: one with limited ability of finding global optimum solution, and calculation complexity. To remedy the shortcomings of this search strategy, genetic algorithm is adopted and an improved current subspace design method is presented. The design process is introduced. The optimizing calculations for a test problem are finished and the results are satisfactory.

关 键 词：遗传算法 并行子空间设计 多学科设计优化 

分 类 号：V421[航空宇航科学与技术—飞行器设计] O224[理学—运筹学与控制论]