An improved bee evolutionary genetic algorithm

摘要：

An improved bee evolutionary genetic algorithm is proposed for enhancing the optimization capability of genetic algorithms. Firstly, the self-adaptive selection operator is used to limit the size of the random population in each generation, the strategy could find new space of solution timely, so as to find the optimal solution faster. And then, controlling operation that extends biodiversity of the swarm is introduced to avoid premature convergence. Finally, simulation examples show that the convergence speed and solution precision of the proposed algorithm was increased effectively.

关键词： bee evolutionary genetic algorithm self-adaptive selection operator controlling operation

作者: Huang Ming Ji Baohui Liang Xu

作者单位: Software Technology Institute Dalian Jiao Tong University Dalian, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 372-374

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）