Multi-Agent Based Hybrid Evolutionary Algorithm

摘要：

In this paper, we have discussed the multi-quantum evolutionary algorithm and simulated annealing algorithm for parallel search of the combination of single-point serial search. From the methodological point of view, it can largely enhance the intelligence of the algorithm. We also introduce the quantum mutation operator into multi-agent quantum evolutionary algorithm to achieve hybrid optimization.

关键词： multi-agent based hybrid evolutionary algorithm annealing algorithm multi-quantum evolutionary algorithm

作者: Xinyan Gan Jianguo Zheng

作者单位: Glorious Sun School of Business Administration Donghua University Shanghai, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 1132-1136

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）