Use whale algorithm and neighborhood search metaheuristics with fuzzy values to solve the location problem

Iranian Journal of Optimization

دوره 13، شماره 3، آذر 2021، صفحه 181-189   

نوع مقاله: Research Paper

نویسندگان

mehdi fazli¹؛ farzin mosarres khiabani^{* 1}؛ behrooz daneshian²

¹1Department of Mathematics, Islamic Azad University, Tabriz Branch, Tabriz, Iran

²Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran

چکیده

In this paper, a facility location model with fuzzy value parameters based on the meta-heuristic method is investigated and solved. The proposed method and model uses fuzzy values to investigate and solve the problem of location allocation. The hypotheses of the problem in question are considered as fuzzy random variables and the capacity of each facility is assumed to be unlimited. This article covers a modern, nature-inspired method called the whale algorithm and the neighborhood search method. The proposed method and related algorithm are tested with practical optimization problems and modeling problems. To evaluate the efficiency and performance of the proposed method, we apply this method to our location models in which fuzzy coefficients are used. The results of numerical optimization show that the proposed method performs better than conventional methods.

کلیدواژه‌ها

Whale algorithm؛ Location problem؛ Fuzzy function؛ Neighborhood search algorithm؛ Meta heuristic

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