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。
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.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2007年第17期2021-2025,共5页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50375023)
关键词
液压集成块
遗传算法
模拟退火算法
优化设计
hydraulic manifold block
genetic algorithm
simulated annealing algorithm
optimal design
