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混合遗传-模拟退火算法应用于液压集成块优化设计的研究
引用本文:刘万辉,田树军,贾春强,曹宇宁.混合遗传-模拟退火算法应用于液压集成块优化设计的研究[J].中国机械工程,2007,18(17):2021-2025.
作者姓名:刘万辉  田树军  贾春强  曹宇宁
作者单位:大连理工大学,大连,116023
摘    要:以液压集成块布局布孔优化设计问题为背景,给出了在立体空间中带性能约束的多目标优化数学模型。针对遗传算法在求解该组合优化问题时局部搜索能力不强的情况,将模拟退火算法与之结合,设计了多参数级联的编码方法,且加入记忆装置,构造了一种具有记忆功能的混合遗传-模拟退火算法。实例计算表明,改进后的新算法能很好地改善对解空间的局部搜索能力,从而得到较高质量的解。

关 键 词:液压集成块  遗传算法  模拟退火算法  优化设计
文章编号:1004-132X(2007)17-2021-05
修稿时间:2006-07-17

Application of Hybrid Genetic-Simulated Annealing Algorithm to Optimal Design of Hydraulic Manifold Blocks
Liu Wanhui,Tian Shujun,Jia Chunqiang,Cao Yuning.Application of Hybrid Genetic-Simulated Annealing Algorithm to Optimal Design of Hydraulic Manifold Blocks[J].China Mechanical Engineering,2007,18(17):2021-2025.
Authors:Liu Wanhui  Tian Shujun  Jia Chunqiang  Cao Yuning
Affiliation:Dalian University of Technology, Dalian, Liaoning, 116023
Abstract:A mathematical model of multi-objective optimization with behavior constraints in solid space was presented based on the problem of optimal design of hydraulic manifold blocks. Due to the limitation of its local search ability of genetic algorithm in solving a massive combinatorial optimization problem, a simulated annealing algorithm was combined with it, the multi-parameter concatenated coding was designed and the memory function was added. Thus a hybrid genetic-simulated annealing with memory function was formed. Examples show that the revised algorithm can improve the local search ability in the solution space and the solution quality.
Keywords:hydraulic manifold block  genetic algorithm  simulated annealing algorithm  optimal design
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