Election Campaign Algorithm for Multimodal Function Optimization

摘要：

In this paper, we present a new algorithm named Election campaign algorithm (ECA) for the multimodal function optimization. It acts by simulating the behavior that the election candidates pursue the highest support in election campaign. The proposed approaches are validated using test functions taken from the specialized literature, and our results are compared with those obtained by genetic algorithm (GA) and particle swarm optimization algorithm (PSO). Our comparative study indicates that ECA verifies its good performance when dealing with multimodal functions.

关键词： optimization election campaign algorithm multimodal function

作者: Wenge Lv Qinghua Xie Zhiyong Liu Xiangwei Zhang Shaoming Luo Siyuan Cheng

作者单位: Faculty of Electro-mechanics Engineering,Guangdong University of Technology,Guangzhou,China

会议类型: 国际会议

会议名称: The Third International Joint Conference on Computational Science and Optimization(第三届计算科学与优化国际大会 CSO 2010)

会议地点: 黄山

会议语种:英文

页码: 157-161

在线出版日期: 2010-05-28（万方平台首次上网日期，不代表论文的发表时间）