A Hybrid Algorithm Based on Genetic Algorithm and Plant Growth Simulation Algorithm

摘要：

In order to solve the deceptive and prematurity problem of genetic algorithm, we combined plant growth simulation algorithm with genetic algorithm, so a new hybrid genetic algorithm occurred. Because of the searching way is better both in direction and randomness balance, which decided by plant hormone in plant growth simulation algorithm, so the deceptive problem of genetic algorithm is well settled and we got the globally optimal solution in a relatively efficient way. The simulation results show that very nice effects are obtained.

关键词： genetic algorithm deceptive problem pre-maturity problem plant growth simulation algorithm

作者: Liang Xu Mu Tao Huang Ming

作者单位: Software Technology Institute Dalian Jiao Tong University Dalian 116028, China Key Laboratory of adv Software Technology Institute Dalian Jiao Tong University Dalian 116028, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 445-448

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）