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Information Journal Paper

Title

A LEARNING AUTOMATA APPROACH TO COOPERATIVE PARTICLE SWARM OPTIMIZER

Pages

  1-14

Keywords

PARTICLE SWARM OPTIMIZER (PSO) 
COOPERATIVE PARTICLE SWARM OPTIMIZER (CPSO) 

Abstract

 This paper presents a modification of Particle Swarm Optimization (PSO) technique based on cooperative behavior of swarms and learning ability of an automaton. The approach is called Cooperative Particle Swarm Optimization based on LEARNING AUTOMATA (CPSOLA). The CPSOLA algorithm utilizes three layers of cooperation which are intra swarm, inter swarm and inter population. There are two active populations in CPSOLA. In the primary population, the particles are placed in all swarms and each swarm consists of multiple dimensions of search space. Also there is a secondary population in CPSOLA which is used the conventional PSO’s evolution schema. In the upper layer of cooperation, the embedded Learning Automaton (LA) is responsible for deciding whether to cooperate between these two populations or not. Experiments are organized on five benchmark functions and results show notable performance and robustness of CPSOLA, cooperative behavior of swarms and successful adaptive control of populations.

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    Cite

    APA: Copy

    HASANZADEH, MOHAMMAD, MEYBODI, MOHAMMAD REZA, & EBADZADEH, MOHAMMAD MEHDI. (2014). A LEARNING AUTOMATA APPROACH TO COOPERATIVE PARTICLE SWARM OPTIMIZER. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 2(1 (5)), 1-14. SID. https://sid.ir/paper/332630/en

    Vancouver: Copy

    HASANZADEH MOHAMMAD, MEYBODI MOHAMMAD REZA, EBADZADEH MOHAMMAD MEHDI. A LEARNING AUTOMATA APPROACH TO COOPERATIVE PARTICLE SWARM OPTIMIZER. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2014;2(1 (5)):1-14. Available from: https://sid.ir/paper/332630/en

    IEEE: Copy

    MOHAMMAD HASANZADEH, MOHAMMAD REZA MEYBODI, and MOHAMMAD MEHDI EBADZADEH, “A LEARNING AUTOMATA APPROACH TO COOPERATIVE PARTICLE SWARM OPTIMIZER,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 2, no. 1 (5), pp. 1–14, 2014, [Online]. Available: https://sid.ir/paper/332630/en

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