广东工业大学学报 ›› 2013, Vol. 30 ›› Issue (2): 90-94.doi: 10.3969/j.issn.1007-7162.2013.02.017

• 综合研究 • 上一篇    下一篇

处理等式约束的新微分进化算法

雷盛,刘伟   

  1. 广东工业大学 应用数学学院,广东 广州 510006
  • 收稿日期:2011-11-17 出版日期:2013-06-27 发布日期:2013-06-27
  • 作者简介:雷盛(1987-),男,硕士研究生,主要研究方向为智能计算.

New Differential Evolution Algorithm for Equality Constrained Optimization

Lei Sheng, Liu Wei   

  1. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2011-11-17 Online:2013-06-27 Published:2013-06-27

摘要: 针对有等式约束的优化问题,提出一种新的微分进化算法.该算法是通过解参数方程的方法处理等式约束,从而降维求解的微分进化算法.数值实验结果表明,与现有的其他算法相比,新算法具有较快的收敛速度和较高的求解精度,是一种有效的智能算法.

关键词: 微分进化;等式约束;参数方程

Abstract: A new differential evolution algorithm is presented to solve the problem with equality constrained optimization. The parametric equation method was taken to keep particles satisfying equality constraints,and the penalty method was used to handle inequality constraints, thus reducing the dimensionality of the optimization problem. The experiment results demonstrate that the new differential evolution algorithm is superior to some other methods, and it is effective.

Key words: differential evolution; equality constraints; parametric equation

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