计算机工程与应用Issue(9)：68-73,6.DOI:10.3778/j.issn.1002-8331.1111-0374
基于自适应混沌遗传算法的路径规划
Path planning based on adaptive chaotic genetic algorithm
摘要
Abstract
A difficult issue of robot path planning in a cluttered environment is that planned path is global optimal. A new robot path planning based on adaptive chaotic genetic algorithm is presented by integrating chaotic and genetic algorithm. This algo-rithm produces the initial colony by information entropy to increase the variety of the initial colony, and introduces the traversal characteristic of chaos optimization to the integrated genetic algorithm to prevent and overcome premature phenomena in the evolutionary process. Computer experimental results demonstrate that the proposed algorithm can be used to solve the path plan-ning for mobile robot even in the complex unknown environment, and the successful obstacle avoidance is also achieved.关键词
路径规划/遗传算法/混沌/自适应Key words
path planning/genetic algorithm/chaotic/adaptive分类
信息技术与安全科学引用本文复制引用
胡喜玲,李洪波,胡俊..基于自适应混沌遗传算法的路径规划[J].计算机工程与应用,2013,(9):68-73,6.基金项目
山东省自然科学基金(No.ZR2010GM013) （No.ZR2010GM013）
江苏省普通高校研究生科研创新计划立项项目(No.CXLX11_0864) （No.CXLX11_0864）
