A novel fuzzy ant colony system for parameter determination of fuzzy controllers

C. W. Tao, J. S. Taur, J. T. Jeng, Wei-Yen Wang*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

11 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel fuzzy ant colony system (FACS) with a fuzzy mechanism and a fuzzy probable mechanism is presented for parameter determinations. Based on the fuzzy rules, the transition behavior of ants is simulated. The fuzzy probable mechanism is introduced with fuzzy probable rules to implement the diverse searching. The fuzzy probable rules are proposed to have the fuzziness in the antecedent parts and the probability in the consequent parts. To indicate the effectiveness, the fuzzy ant colony system is applied to find the proper parameters of the fuzzy sliding controllers for swinging and balancing the inverted pendulum and cart system. Also, the comparisons between the proposed fuzzy ant colony system and other ant colony optimization algorithms are provided in the simulations.

原文英語
頁(從 - 到)298-307
頁數10
期刊International Journal of Fuzzy Systems
11
發行號4
出版狀態已發佈 - 2009 十二月 1

ASJC Scopus subject areas

  • 軟體
  • 理論電腦科學
  • 計算機理論與數學
  • 人工智慧

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