%0 Journal Article
%T Path Planning Research for Multi-Agent Robot Based on Co-Evolution<br>基于协同进化的多智能体机器人路径规划
%A 雷小宇
%A 杨胜跃
%A 张亚鸣
%A 樊晓平
%A 瞿志华
%J 计算机系统应用
%D 2010
%I 
%X Co-Evolution is a novel, simple and effective Intelligent Optimization approach, has good convergence, robustness and efficiency in multi-objective optimization problem has been very widely used. In this paper, its application to complex environment of multi-robot path planning, and design of the fitness evaluation function. At the same time, the introduction of a new series of operator variability and effective manner to multi-robot path planning, optimization, accelerated the pace of overall planning to avoid a local optimum planning, multi-robot system in order to obtain the global optimal or sub-optimal solution. Finally, the simulation results prove the method is feasible and effective.
%K multi-agent robot
%K path planning
%K co-evolution
%K genetic algorithm<br>多智能体机器人
%K 路径规划
%K 协同进化
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=C54405162B4A969DA5E0AAD6722C9340&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=708DD6B15D2464E8&sid=0B4F496D54044D86&eid=8575BEDA702C4B7C&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7