An Artificial Bee Colony Algorithm for Multi-Objective Optimization

摘要：

Multi-objective optimization methods are essential to resolve real-world problems. An artificial bee colony algorithm used to the multi-objective optimization problems is presented. In the algorithm, solutions with a smaller number of dominating solutions and a larger crowding distance are first chosen into the next generation, their vicinity is searched with a higher probability and at self-adjective steps, and the opposition-based strategy is applied to the initialization, to speed up the convergence to the Pareto optimal solution set and improve the distribution uniformity of the solutions in the objective space. The simulation results on multi-objective test functions verify the validity of the proposed algorithm.

关键词： multi-objective optimization Pareto-optimal solution bee colony algorithm

作者: Li Xinyi Li Zunchao Lin Liqiang

作者单位: School of Electronics and Information Eng., Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China Xi’an Branch, Platform Software Co. Ltd, Xi’an, Shaanxi, 710075, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 153-156

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）