A Genetic Algorithm Based on a New Real Coding Approach

摘要：

Genetic algorithm is a kind of common method to solve nonlinear programming problems. To improve the computational efficiency of the algorithm, a genetic algorithm based on a new real code (NRCGA) was proposed, which could solve a class of nonlinear programming problems. The new real coded strategy can be used to repair all of the infeasible chromosomes by simply sorting and keeping search within the feasible region. NRCGA is more accurate than the existing methods on equality constraint handling. Many examples show that the new algorithm has high search efficiency and strong robustness.

关键词： genetic algorithm penalty functions nonlinear programming constraint-handling real-coding

作者: Guoshan Zhang Wanliang Liu

作者单位: School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 88-92

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）