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Title:
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A NEW ARCHITECTURE BASED DISTRIBUTED AGENTS USING PSO FOR MULTIOBJECTIVE OPTIMIZATION |
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Author(s):
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Najwa Kouka, Raja Fdhila, Adel M. Alimi |
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ISBN:
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978-989-8533-56-2 |
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Editors:
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Hans Weghorn |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Multi-Objective Optimization, Particle Swarm Optimization, Multi-Agent System, distributed architecture |
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Type:
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Full Paper |
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First Page:
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19 |
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Last Page:
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26 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, we present a new Distributed Agents Multi-Objective Particle Swarm Optimization (DAMOPSO). This strategy allocates a dynamic number of swarms and agents as required to support convergence and diversity criteria among the swarms. In contrast, the DAMOPSO start by building a set of sub-swarm, then the swarms are distributed among agents after that several runs are executed among agents when each one seeks the local suboptimal solution and communicates its best solution after a certain number of generations to improve the global optimum. When the evolution comes to an end, all the optimal solution of each agent will be saved in the external archive. An experiment is presented to compare our algorithms with other existing algorithms in the literature, the comparative result shows that the proposed approach improves the best performance within the used benchmarks. |
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