Today’s logistic systems in companies depend on optimum solutions of Facility Location-Allocation (FLA) problems in order to minimize cost values the company is dealing with. Therefore, FLA plays an important role in nowadays business environment. In this paper, a Hybrid Genetic Algorithm (HGA) is proposed to solve FLA. The HGA is a combination of Genetic Algorithm and Tabu Search while NSGA II is used as the main genetic algorithm. This algorithm has the capability of solving NP-hard multi-objective problems using ranking algorithm and diversity control function. Tabu Search is used to improve solutions resulted from NSGA II. Finally, the proposed algorithm is investigated providing problem samples.
A Hybrid Genetic Algorithm for Solving Facility Location-Allocation Problem
16 Views
6 Downloads