Solving Bi-Objective Fuzzy P-Hub Center Problem by Using Genetic Algorithm, Incorporating Local Search and Absolute Priority Method

Abstract

Fuzzy p-hub center problem is proposed and solved by genetic algorithm incorporating local search (GALS) before. In real world, opening hubs may need considerable cost. In this situation, minimization of the hub numbers is important, too. So in this paper, a bi-objective p-hub center problem is presented. To solve the proposed bi-objective model, we suggested an algorithm using GALS based on absolute priority of objectives. Optimum numbers of hub are calculated in two numerical examples by proposed algorithm.