Title : ( An Efficient Hybridization of Genetic Algorithm and Variable Neighborhood Search for Fuzzy Bus Terminal Location Problems with Fuzzy Setup Cost, )
Authors: Reza Ghanbari , Saman Babaie-Kafaki , Nezam Mahdavi-Amiri ,
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Abstract
We propose a new approach for hybridization of genetic algorithm and variable neighborhood search. In our hybrid algorithm, we consider gradually increasing probability for the application of variable neighborhood search procedure on the best individual as the number of iterations of the genetic algorithm grows. We implement our new hybrid algorithm and compare its performance with another recently proposed hybrid algorithm that, in contrast, use the variable neighborhood search on all the individuals of the population, and two non-hybrid metaheuristic algorithms. We test the programs on a variety of randomly generated large scale fuzzy bus terminal location problems. The computational experiments demonstrate the efficiency of the proposed algorithms
Keywords
, Hybrid algorithm, Genetic algorithm, Variable neighbourhood search, Fuzzy facility location problem
@inproceedings{paperid:1021028,
author = {Ghanbari, Reza and Saman Babaie-Kafaki and Nezam Mahdavi-Amiri},
title = {An Efficient Hybridization of Genetic Algorithm and Variable Neighborhood Search for Fuzzy Bus Terminal Location Problems with Fuzzy Setup Cost,},
booktitle = {Secend Joint Congress on Fuzzy and Intelligent System},
year = {2008},
location = {IRAN},
keywords = {Hybrid algorithm; Genetic algorithm; Variable neighbourhood search; Fuzzy facility location problem},
}
%0 Conference Proceedings
%T An Efficient Hybridization of Genetic Algorithm and Variable Neighborhood Search for Fuzzy Bus Terminal Location Problems with Fuzzy Setup Cost,
%A Ghanbari, Reza
%A Saman Babaie-Kafaki
%A Nezam Mahdavi-Amiri
%J Secend Joint Congress on Fuzzy and Intelligent System
%D 2008
