系统管理学报2013，Vol.22Issue(1)：114-119,127,7.
求解约束优化问题的改进算法及其收敛性分析
An Improved Differential Evolution Algorithm and Its Convergence Analysis for Constrained Optimization Problems
摘要
Abstract
An improved differential evolution algorithm is presented for constrained optimization problems (COPs). To utilize the information of the infeasible solutions in the population, we propose the improved DEB's rules. In addition, to improve the searching ability in the constrained space, we suggest a new way to set the parameters CR and F. Computational study is conducted on a set of 13 benchmark functions, and it demonstrates the good performance of the improved DE in solving COPs when compared with the four best algorithms in the literature.关键词
优化/约束优化问题/差分进化算法Key words
optimization/ constrained optimization problems/ differential evolution分类
信息技术与安全科学引用本文复制引用
郑建国,干昕艳,王翔..求解约束优化问题的改进算法及其收敛性分析[J].系统管理学报,2013,22(1):114-119,127,7.基金项目
国家自然科学基金资助项目(70971020) （70971020）
