Path planning for robot navigation based on Cooperative Genetic Optimization

Chen Chien Hsu, Yi Chun Liu

研究成果: 書貢獻/報告類型會議論文篇章

9 引文 斯高帕斯(Scopus)

摘要

Path planning investigates issues including the shortest path, obstacle avoidance, and computation efficiency, which can be regarded as an optimal problem. Taking advantage of the genetic algorithms to solve various optimal problems, this paper first proposes a Cooperative Genetic Optimization (CGO) Algorithm, including the establishment of an elite policy and larger selection region to minimize the occurrence of local optima so as to increase the speed of convergence. Based on the proposed CGO, a global path planning approach for robots is then presented. As a result, the proposed method of this paper leads to a better performance in comparison with the traditional Genetic algorithm to achieve the goal of obtaining a safer and shorter path.

原文英語
主出版物標題Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
發行者IEEE Computer Society
頁面316-321
頁數6
ISBN(列印)9781479931064
DOIs
出版狀態已發佈 - 2014
事件11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 - Miami, FL, 美国
持續時間: 2014 四月 72014 四月 9

出版系列

名字Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

其他

其他11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
國家/地區美国
城市Miami, FL
期間2014/04/072014/04/09

ASJC Scopus subject areas

  • 電腦網路與通信
  • 控制與系統工程

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