应用于液压集成块优化的一种混合遗传-模拟退火算法

TG1; This paper establishes a mathematical model of multi-objective optimization with behavior constraints in solid space based on the problem of optimal design of hydraulic manifold blocks (HMB). Due to the limitation of its local search ability of genetic algorithm (GA) in solving a massive combin...

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Bibliographic Details
Published in上海大学学报(英文版) Vol. 12; no. 3; pp. 261 - 267
Main Authors 刘万辉, 田树军, 贾春强, 曹宇宁
Format Journal Article
LanguageChinese
Published Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian 116023, P. R. China 2008
Subjects
optimal design
hydraulic manifold blocks (HMB)
genetic algorithm (GA)
simulated annealing (SA)
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ISSN1007-6417

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Summary:TG1; This paper establishes a mathematical model of multi-objective optimization with behavior constraints in solid space based on the problem of optimal design of hydraulic manifold blocks (HMB). Due to the limitation of its local search ability of genetic algorithm (GA) in solving a massive combinatorial optimization problem, simulated annealing (SA) is combined, the multi-parameter concatenated coding is adopted, and the memory function is added. Thus a hybrid genetic-simulated annealing with memory function is formed. Examples show that the modified algorithm can improve the local search ability in the solution space, and the solution quality.
ISSN:1007-6417