Initialization Strategies for Enhancing the Performance of Firefly Algorithms in P-Median Problem

Alireza Haghighat JAHROMI, Mahnaz ZAREI
1.989 511

Abstract


Abstract. The main studies are carried out to develop firefly algorithm for P-Median problem. P-Median problem is solved to place P equipments in network n with P<n nodes. Hence, total distance between each node and its closest equipments is reduced. It is focused on the encoding methods to present focused solutions and operations. Then, it can be applied to create new solutions. P-Median problem were presented by Rozing and Rol in 1997. Meta-heuristic method can effectively find suitable or relatively suitable solutions through integrating previously created solutions with high quality. This study is aimed to find the effect of various initialization strategies on enhancing the general performance of firefly algorithm in finding optimum or relatively suitable solutions. We have developed an algorithm that can be used for creating high quality solution. As a result, this solution was applied to initially form hybrid firefly algorithm. Studies done in this article introduce the optimization method of the initial population in algorithm based on fireflies for P-Median problem. First, research algorithm takes action to achieve optimum solution. Research algorithm is developed for 40 P-Median problems obtained from OR library of the compatibility values of the initial solution.

Keywords


Firefly Algorithm, P-Median Problem, PSO Algorithm

Full Text:

PDF


References


In 2011, Nima Hamta et al presented hybrid PSO algorithm for solving multi-criteria montage line balance problem with respect to flexible operating times and learning effect

In 2011, Hessam Omranpur et al studied the optimization algorithm of dual-stage particles group using two motion and convergence of population stages

In 2009, Farhad Ramezani et al studied the chaotic algorithm of birds optimization by replacing random numbers with chaotic numbers in standard PSO algorithm