Path planning for mobile robots based on improved ant colony optimization

研究成果: 書貢獻/報告類型會議論文篇章

15 引文 斯高帕斯(Scopus)

摘要

Although traditional ant colony system (ACS) has the ability of fast convergence, it tends to find local optima. To solve this problem, this paper proposes an improved ant colony system algorithm for path planning of mobile robots by considering two main aspects, including continuous tuning of a setting parameter and the establishment of new mechanisms for pheromone updating. As a result, the ability of global searching of the improved ACS can be significantly enhanced in comparison to the traditional ACS algorithms in deriving an optimal path for mobile robots. Simulation results show the proposed approach has a better performance in terms of shortest distance, mean distance, and successful rate of the optimal paths than those obtained by the traditional ACS algorithms.

原文英語
主出版物標題Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
頁面2777-2782
頁數6
DOIs
出版狀態已發佈 - 2013 十二月 1
事件2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, 英国
持續時間: 2013 十月 132013 十月 16

出版系列

名字Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

其他

其他2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
國家/地區英国
城市Manchester
期間2013/10/132013/10/16

ASJC Scopus subject areas

  • 人機介面

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