Fitness-Based Recombination Operator Applying to the Real-Coded Genetic Algorithms

摘要：

In Genetic Algorithms (GAs) technique, offspring chromosomes are created by merging two parent chromosomes using a crossover operator. A new real coded crossover operator, called the fitness-based recombination operator (FBRO), is proposed. This recombination operator, making use of difference between two parents fitness, regarding themselves as centers respectively, divides the space containing offspring genes and creates offspring chromosomes containing genetic information. The feature of this recombination operator is the combination of local search and global search. This feature can avoid premature. In comparison with parent-centric crossover operator and arithmetic recombination operator, the fitness-based recombination operator proves to be effective and robust.

关键词： genetic algorithms recombination operator gene diversity multimudal function global optimization

作者: YuCao Shie Yang

作者单位: National Laboratory of Underwater Acoustic Technology,Harbin Engineering University Harbin,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 639-643

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）