FPGA-based path planning using improved Ant Colony Optimization Algorithm

Chen Chien Hsu, Ru Yu Hou, Wen Chung Kao, Shih An Li

研究成果: 書貢獻/報告類型會議貢獻

摘要

This paper develops a novel path planning algorithm using improved ant colony optimization (ACO) and its FPGA implementation. The proposed approach can effectively increase the accuracy to generate an optimal path. The main idea of this paper is to avoid local minimum by continuous tuning of a setting parameter and the establishment of new mechanisms for opposite pheromone updating and partial pheromone updating. Experimental results show that the execution efficiency of path planning is significantly improved by full hardware design for embedded applications.

原文英語
主出版物標題5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015
編輯Jose Maria Flores-Arias, Stefan Mozar, Dietmar Hepper, Milan Z. Bjelica, Hans L. Cycon
發行者Institute of Electrical and Electronics Engineers Inc.
頁面443-444
頁數2
ISBN(電子)9781479987481
DOIs
出版狀態已發佈 - 2016 一月 25
事件5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015 - Berlin, 德国
持續時間: 2015 九月 62015 九月 9

出版系列

名字5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015

其他

其他5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015
國家德国
城市Berlin
期間15/9/615/9/9

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Media Technology

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  • 引用此

    Hsu, C. C., Hou, R. Y., Kao, W. C., & Li, S. A. (2016). FPGA-based path planning using improved Ant Colony Optimization Algorithm. 於 J. M. Flores-Arias, S. Mozar, D. Hepper, M. Z. Bjelica, & H. L. Cycon (編輯), 5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015 (頁 443-444). [7391304] (5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Berlin.2015.7391304