A review of meta-heuristic methods for solving location allocation financial problems

Advances in Mathematical Finance and Applications

مقاله 1، دوره 8، شماره 3، مهر 2023، صفحه 719-744   

نوع مقاله: Review Paper

شناسه دیجیتال (DOI): 10.22034/amfa.2023.1969098.1807

نویسندگان

Mehdi Fazli^{* 1}؛ Somayyeh Faraji Amoogin²

¹Islamic Azad University, Ardabil Branch, Ardabil, Iran

²Department of Mathematics, Islamic Azad University, Ardabil Branch, Ardabil, Iran

چکیده

In this article, we will examine the financial issues related to multi-period routing and positioning and the related costs, and we will examine the related limitations. These decisions are made about location allocation, inventory and routing in a three-tier supply chain, including suppliers, warehouses and customers. We are looking for new ways to make location and routing decisions simultaneously and efficiently. In order to maximize the search space and achieve optimal results, exploratory and meta-heuristic methods have been used. The meta-heuristic technique is usually used to increase the performance of the hybrid technique. Therefore, this paper provides an overview of meta-heuristic methods and their combination to solve problems. It also examines the advantages and disadvantages of the proposed methods to solve these problems in order to provide more efficient methods.

کلیدواژه‌ها

Location routing؛ Meta-heuristic؛ Hybridization؛ Financial Problems

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