Constrained Multi-objective Biogeography Optimization Algorithm for Robot Path Planning

摘要：

　　Constrained multi-objective optimization involves multiple objectives subjected to some equality or inequality constraints so that it may require search a set of non-dominated feasible solutions.Inspired from this, in this paper, a novel constrained multi-objective biogeography optimization algorithm is proposed and used for solving robot path planning problem since it can be defined as a constrained multi-objective optimization problem.Experimental results compared with Non-dominated Sorting Genetic Algorithmll show that the proposed algorithm has better performance.

关键词： constrained multi-objective optimization differential evolution biogeography-based optimization robot path planning

作者: Hongwei Mo Zhidan Xu Qirong Tang

作者单位: Automation College, Harbin Engineering University, Harbin 150001, China Automation College, Harbin Engineering University, Harbin 150001, China ;Institute of Basic Science, Institute of Engineering and Computational Mechanics, University of Stuttgart.Pfaffenwaldring 9, 705

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: 323-329

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）