Technology, Communication and Knowledge (ICTCK), 2014 International Congress on , 2014-11-26

Title : ( A greedy cluster-based tribes optimization algorithm )

Authors: Mohammad Reza Akbarzadeh Totonchi , Neda Bagherzadeh , Mahdi Heidari ,

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n this paper, we propose a cluster-based optimization algorithm. It is a greedy agent-based tribal particle swarm optimization algorithm (GATPSO) which adapts the tribes by removing/generating particles and reconstructing tribal links in order to encourage better tribes to proliferate, and causes reducing the computation cost and preventing local optimal solutions. The proposed approach is applied to several numeric benchmarks. Results of this study demonstrate the effectiveness of the proposed algorithm

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@inproceedings{paperid:1047578,
author = {Akbarzadeh Totonchi, Mohammad Reza and Neda Bagherzadeh and Mahdi Heidari},
title = {A greedy cluster-based tribes optimization algorithm},
booktitle = {Technology, Communication and Knowledge (ICTCK), 2014 International Congress on},
year = {2014},
location = {IRAN},
keywords = {...},
}

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%0 Conference Proceedings
%T A greedy cluster-based tribes optimization algorithm
%A Akbarzadeh Totonchi, Mohammad Reza
%A Neda Bagherzadeh
%A Mahdi Heidari
%J Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
%D 2014

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