Immune Based Chaotic Artificial Bee Colony Multiobjective Optimization Algorithm

摘要：

　　This work presents a new multiobjective optimization algorithm based on artificial bee colony, named the ICABCMOA.In order to meet the require ments of Pareto-based approaches, a new fitness assignment function is defined based on the dominated number.In the ICABCMOA, a high-dimension chaotic method based on Tent map is addressed to increase the searching efficiency.Vaccination and gene recombination are adopted to promote the convergence.The experimental results of the ICABCMOA compared with NSGAII and SPEA2 over a set of test functions show that it is an effective method for high-dimension optimization problems.

关键词： Immune Multiobjective Chaotic Artificial Bee Colony

作者: Xia Zhou Jiong Shen Yiguo Li

作者单位: School of Mechanical & Electrical Engineering, Jinling Institute of Technology Nanjing 211169, P.R.C School of Energy & Environment, Southeast University Nanjing 210096, P.R.China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 387-395

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）