燕山大学学报Issue(3)：265-269,5.DOI:10.3969/j.issn.1007-791X.2013.03.015
桁架结构多目标优化的微分演化算法
Differential evolution algorithm for truss structure multi-objective optimization
摘要
Abstract
In order to solve the multi-objective optimization of truss structures with constrains, a new approach to multi-objective optimization based on differential evolution (DEMO) was adopted in this paper. DEMO adopted the mechanisms of Pareto based ranking and crowding distance sorting which used by evolutionary algorithms for multi-objective optimization, and preserved the advantages of differential evolution (DE). Classical truss sizing optimization problems are solved to demonstrate the feasibility and effectiveness of the DEMO algorithm, and the results are compared with other optimization methods. The results indicate that the DEMO provides better performance in the diversity, the uniformity and the convergence of the obtained solution than other methods.关键词
微分演化/多目标优化/非支配排序/桁架结构Key words
differential evolution/multi-objective optimization/non-dominated sorting/truss structure分类
建筑与水利引用本文复制引用
胡长远,唐和生,薛松涛,苏瑜..桁架结构多目标优化的微分演化算法[J].燕山大学学报,2013,(3):265-269,5.基金项目
国家自然科学基金资助项目（51178337，50708076）；科技部国家重点实验室基础研究资助项目 （）
