Please wait a minute...
工程设计学报  2010, Vol. 17 Issue (4): 278-281    
工程设计理论、方法与技术     
增强差异演化算法及其应用
 兰国生1, 张学良1, 卢青波1,2, 温淑花1
1. 太原科技大学 机电工程学院,山西 太原 030024;2. 郑州职业技术学院,河南 郑州 450121
Enhanced differential evolution and its application
 LAN  Guo-Sheng1, ZHANG  Xue-Liang1, LU  Qing-Bo1,2, WEN  Shu-Hua1
1.College of Mechanical Electronic Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China; 2. Zhengzhou Technical College, Zhengzhou 450121, China
 全文: PDF(590 KB)   HTML
摘要: 针对约束优化问题,提出一种适于约束优化的增强差异演化算法(enhanced differential evolution algorithm for constrained optimization, ECDE).在约束处理上采用不可行域与可行域更新规则的方法,避免了传统的惩罚函数方法中对惩罚因子的设置,使算法的实现变得简单.改进了DE算法的变异操作,对选择的3个父代个体进行操作遍历,产生6个候选解,取适应值最优的为变异操作的解,大大改善了算法的稳定性、鲁棒性和搜索性能.通过4个测试函数和1个设计实例仿真,表明所提出的算法具有较快的收敛速度和较好的稳定性和鲁棒性.
关键词: 差异演化约束优化遍历全局搜索    
Abstract: This paper proposed an enhanced differential evolution algorithm for constrained optimization modified differential evolution algorithm(ECDE) to solve constraints optimization problems. The algorithm used three simple selection criteria based on feasibility and infeasibility to guide the search. The proposed algorithm didn't adopt the penalty function method, in contrast to the penalty function method, the constraint-handing technique of this algorithm was very simple, which didn't require additional parameters. In addition, this paper improved the mutation procedure of DE algorithm, operation traversal has been applied to the selection of the three parent individuals,which generated six candidate solutions, and then adopted to the best fitness of the six candidate solutions for the mutation solution. For these measures being adopted, the stability, robustness and global searching performance of DE algorithm were improved greatly. Results of simulations and comparisons with the other algorithms based on four testing functions demonstrate the effectiveness, efficiency and robustness of the proposed ECDE.
Key words: differential evolution    constrained optimization    traversing    global search
出版日期: 2010-08-28
:  TP 274  
基金资助:

国家自然科学基金资助项目(50775153);山西省研究生优秀创新项目(20093022);山西省自然科学基金资助项目(2008011027-1);2009年度“高等学校博士学科点专项科研基金”联合资助课题(20091415110002)

服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
兰国生
张学良
卢青波
温淑花

引用本文:

兰国生, 张学良, 卢青波, 温淑花. 增强差异演化算法及其应用[J]. 工程设计学报, 2010, 17(4): 278-281.

LAN Guo-Sheng, ZHANG Xue-Liang, LU Qing-Bo, WEN Shu-Hua. Enhanced differential evolution and its application[J]. Chinese Journal of Engineering Design, 2010, 17(4): 278-281.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/        https://www.zjujournals.com/gcsjxb/CN/Y2010/V17/I4/278

[1] 唐东林, 龙再勇, 汤炎锦, 潘峰, 游传坤. 储罐检测爬壁机器人全遍历路径规划[J]. 工程设计学报, 2020, 27(2): 162-171.
[2] 唐东林, 袁波, 胡琳, 李茂扬, 魏子兵. 储罐探伤爬壁机器人全遍历路径规划方法[J]. 工程设计学报, 2018, 25(3): 253-261.