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Cites:

Information Journal Paper

Title

A NEW EVOLUTIONARY ESTIMATION OF DISTRIBUTION ALGORITHM BASED ON LEARNING AUTOMATA

Pages

  73-82

Abstract

 In order to overcome the poor behaviors of GENETIC ALGORITHMs in some problems other classes of evolutionary algorithms have been recently developed by researchers. Although these algorithms do not have the simplicity of classic GENETIC ALGORITHMs but they are superior to GENETIC ALGORITHMs. The GENETIC ALGORITHM/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank"> PROBABILISTIC MODEL BUILDING GENETIC ALGORITHMs or ESTIMATION OF DISTRIBUTION ALGORITHMs (EDAs) is one of these classes which are recently developed. In this paper we introduce a new ESTIMATION OF DISTRIBUTION ALGORITHM based on LEARNING AUTOMATA. The proposed algorithm is a model based search optimization method that uses a set of LEARNING AUTOMATA as a probabilistic model of the population of solutions in the search space. The proposed algorithm is a simple algorithm which has produced good results for the optimization problems considered in this problem.

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  • Cite

    APA: Copy

    RASTEGAR, R., & MEYBODI, R.. (2004). A NEW EVOLUTIONARY ESTIMATION OF DISTRIBUTION ALGORITHM BASED ON LEARNING AUTOMATA. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 2(2), 73-82. SID. https://sid.ir/paper/53669/en

    Vancouver: Copy

    RASTEGAR R., MEYBODI R.. A NEW EVOLUTIONARY ESTIMATION OF DISTRIBUTION ALGORITHM BASED ON LEARNING AUTOMATA. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2004;2(2):73-82. Available from: https://sid.ir/paper/53669/en

    IEEE: Copy

    R. RASTEGAR, and R. MEYBODI, “A NEW EVOLUTIONARY ESTIMATION OF DISTRIBUTION ALGORITHM BASED ON LEARNING AUTOMATA,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 2, no. 2, pp. 73–82, 2004, [Online]. Available: https://sid.ir/paper/53669/en

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