基于改进遗传算法的起重机臂架结构优化设计  

Optimal Design of Crane Jib Structures Based on Improved Genetic Algorithms

作　　者：陈昆[1] 李清华[1] 陈定方[1] 卢全国[1] 陈沛[1] 

机构地区：[1]武汉理工大学物流工程学院,湖北武汉430063

出　　处：《武汉理工大学学报（信息与管理工程版）》2009年第5期748-751,共4页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家863计划基金资助项目(2003AA414011);武汉市十五重大科技攻关基金资助项目(2001001003)

摘　　要：在起重机臂架结构设计中,引入非均匀变异算子和小生境算子与采用浮点数编码遗传算法相结合,同时通过个体基因改变总几率来确定浮点数编码遗传算法的变异概率,提出了一种改进的遗传算法。算例结果表明,改进的遗传算法优化效果明显,对结构优化设计有较好的参考价值。The optimal design of crane jib structures was presented based on improved genetic algorithms mixed with non-uniform mutation and niche genetic algorithms.The mutation rate was determined by using total probability of individual gene changing in the floating-point number code genetic algorithms.The results of the case study show that this method is feasible,reliable and effective.

关 键 词：非均匀变异算子 小生境遗传算子 变异概率 结构优化 改进遗传算法 

分 类 号：TP391.72[自动化与计算机技术—计算机应用技术]