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基于HCI-SA/GA的演化设计方法及其在布局中的应用
引用本文:苗玉彬,滕弘飞,刘占伟.基于HCI-SA/GA的演化设计方法及其在布局中的应用[J].机械工程学报,2003,39(2):133-139.
作者姓名:苗玉彬  滕弘飞  刘占伟
作者单位:大连理工大学机械工程学院,大连,116024
基金项目:国家自然科学基金(60073036,50175009,50275019),教育部高校博士点基金(20010141005)资助项目。
摘    要:“人机结合”是解决复杂工程系统方案设计的重要方法。为实现这种“人机结合”给出了一种基于人机交互的混合模拟退火遗传算法(简称HCI—SA/GA算法)。该算法实现了人工方案(人工个体)与算法方案(算法个体)在基因层面的结合并共同参加算法操作(交叉、复制、变异),进而构成基于HCI—SA/GA的演化设计方法。本方法既具演化算法的特点又融合了人的经验和智慧,可用于复杂工程系统布局方案设计。最后给出以卫星舱布局设计为背景的两个数值算例,验证了本方法的可行性与有效性。

关 键 词:人机交互  演化算法  设计方法  布局方案  卫星
修稿时间:2001年12月30

HCI-SA/GA BASED EVOLUTIONARY DESIGN METHOD AND APPLICATION TO LAYOUT DESIGN
Miao Yubin TengHongfei Liu Zhanwei.HCI-SA/GA BASED EVOLUTIONARY DESIGN METHOD AND APPLICATION TO LAYOUT DESIGN[J].Chinese Journal of Mechanical Engineering,2003,39(2):133-139.
Authors:Miao Yubin TengHongfei Liu Zhanwei
Affiliation:Dalian University of Technology
Abstract:Human-computer cooperation" is an effective way to solve the problems of scheme designs exists in complicated engineering systems. In order to realize it, a human-computer interaction based hybrid simulated annealing/genetic algorithm is presented (for short, HCI-SA/GA), which makes artificial schemes (schemes designed by specialists, i.e. artificial individuals) and algorithm schemes (schemes designed by algorithm, i.e. algorithm individuals) combined in the gene layer and undergone algorithm's operations (selection, crossover and mutation) together. Then a HCI-SA/GA based evolutionary design method not only keeps up the characteristics of evolution algorithm but also makes use of the experiences and wisdom of human, so it will contribute to solving the problems of layout conceptual design exist in complicated engineering system. At last, two examples with the layout design of satellite cabin in the background show the feasibility and efficiency of the approach.
Keywords:Human-computer interactionEvolution algorithm Design method Layout scheme Satellite
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