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Front. Inform. Technol. Electron. Eng.  2014, Vol. 15 Issue (5): 363-371    DOI: 10.1631/jzus.C1300088
    
FICA: fuzzy imperialist competitive algorithm
Saeid Arish, Ali Amiri, Khadije Noori
Department of Computer Engineering, University of Zanjan, Zanjan, Iran
FICA: fuzzy imperialist competitive algorithm
Saeid Arish, Ali Amiri, Khadije Noori
Department of Computer Engineering, University of Zanjan, Zanjan, Iran
 全文: PDF 
摘要： Despite the success of the imperialist competitive algorithm (ICA) in solving optimization problems, it still suffers from frequently falling into local minima and low convergence speed. In this paper, a fuzzy version of this algorithm is proposed to address these issues. In contrast to the standard version of ICA, in the proposed algorithm, powerful countries are chosen as imperialists in each step; according to a fuzzy membership function, other countries become colonies of all the empires. In absorption policy, based on the fuzzy membership function, colonies move toward the resulting vector of all imperialists. In this algorithm, no empire will be eliminated; instead, during the execution of the algorithm, empires move toward one point. Other steps of the algorithm are similar to the standard ICA. In experiments, the proposed algorithm has been used to solve the real world optimization problems presented for IEEE-CEC 2011 evolutionary algorithm competition. Results of experiments confirm the performance of the algorithm.
关键词： Optimization problem;  Imperialist competitive algorithm (ICA);  Fuzzy ICA.    
Abstract: Despite the success of the imperialist competitive algorithm (ICA) in solving optimization problems, it still suffers from frequently falling into local minima and low convergence speed. In this paper, a fuzzy version of this algorithm is proposed to address these issues. In contrast to the standard version of ICA, in the proposed algorithm, powerful countries are chosen as imperialists in each step; according to a fuzzy membership function, other countries become colonies of all the empires. In absorption policy, based on the fuzzy membership function, colonies move toward the resulting vector of all imperialists. In this algorithm, no empire will be eliminated; instead, during the execution of the algorithm, empires move toward one point. Other steps of the algorithm are similar to the standard ICA. In experiments, the proposed algorithm has been used to solve the real world optimization problems presented for IEEE-CEC 2011 evolutionary algorithm competition. Results of experiments confirm the performance of the algorithm.
Key words: Optimization problem    Imperialist competitive algorithm (ICA)    Fuzzy ICA.
收稿日期: 2013-04-11 出版日期: 2014-05-06
CLC:  TP301.6  
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Saeid Arish
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Saeid Arish, Ali Amiri, Khadije Noori. FICA: fuzzy imperialist competitive algorithm. Front. Inform. Technol. Electron. Eng., 2014, 15(5): 363-371.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1300088    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2014/V15/I5/363

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