Realization of an Energy-Based Ant Colony Optimization Algorithm for Path Planning

Kuan Tung Lee, Shih Hua Huang, Shih Hsun Sun, Yih-Guang Leu

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose an energy-based ant colony optimization algorithm for path planning. Because the shortest path does not guarantee the optimal energy-conserving way, this paper utilizes the ant colony optimization algorithm to acquire the optimal energy-conserving path. For battery-powered electric vehicles, the energy consumption depends on the road condition. Therefore, according to the road condition, the update law with energy pheromone is obtained. Finally, computer simulations and real road experiments of the battery-powered electric vehicle were conducted to verify the efficiency of the proposed method.

原文英語
主出版物標題New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015
編輯Hamido Fujita, Shun-Feng Su
發行者IOS Press
頁面193-199
頁數7
ISBN(電子)9781614995210
DOIs
出版狀態已發佈 - 2015 一月 1
事件International Conference on System Science and Engineering, ICSSE 2015 - Morioka, 日本
持續時間: 2015 七月 62015 七月 8

出版系列

名字Frontiers in Artificial Intelligence and Applications
276
ISSN(列印)0922-6389

其他

其他International Conference on System Science and Engineering, ICSSE 2015
國家/地區日本
城市Morioka
期間2015/07/062015/07/08

ASJC Scopus subject areas

  • 人工智慧

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