计算机工程与应用2012，Vol.48Issue(30)：46-49,102,5.DOI:10.3778/j.issn.1002-8331.2012.30.011
基于自适应混沌变异粒子群算法的路径规划
Novel path planning for robots based on adaptive chaos mutation operator particle swarm optimization algorithm
摘要
Abstract
A novel path planning for robots based on adaptive chaos mutation operator particle swarm optimization algorithm is presented. The first step is to make a new map. The improved particle swarm optimization algorithm is introduced to get a global optimized path. The algorithm takes advantage of adaptive chaos mutation operator to enhance the local search ability and keeps the swarm diversity. The result of simulation shows that this novel algorithm can plan an optimal path rapidly in a cluttered environment. The successful obstacle avoidance is achieved.关键词
路径规划/粒子群算法/混沌变异/自适应Key words
path planning/ particle swarm algorithm/ chaos mutation/ adaptive分类
信息技术与安全科学引用本文复制引用
国海涛,岳峻,苏庆堂..基于自适应混沌变异粒子群算法的路径规划[J].计算机工程与应用,2012,48(30):46-49,102,5.基金项目
国家科技支撑计划项目(No.2011BAD20B01) （No.2011BAD20B01）
山东省自然科学基金(No.ZR2011GQ001) （No.ZR2011GQ001）
山东省科技发展计划项目(No.2011GGB01138). （No.2011GGB01138）
