An Efficient Hybridization of Genetic Algorithm and Variable Neighborhood Search for Fuzzy Bus Terminal Location Problems with Fuzzy Setup Cost

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 thegenetic 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 avariety 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 neighborhood search , Fuzzy facility location problem