A Review of Meta-heuristics Algorithms for Solving Fuzzy Location Routing Problems

Fuzzy Optimization and Modeling Journal

دوره 3، شماره 3، مهر 2022، صفحه 59-83   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.30495/fomj.2022.1968957.1077

نویسندگان

Mehdi Fazli^* ؛ Somayyeh Faraji Amoogin

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

چکیده

In this paper, we consider the issues related to multi-periodic and multi-period routing and positioning, and investigate the relevant constraints. Those decisions on location allocation, inventory and routing are made in a three-tiered supply chain, including suppliers, warehouses and customers. We seek new ways to decide on location and routing simultaneously and efficiently. To maximize the search space and to achieve optimum results, heuristic and meta-heuristic methods have been used. The meta-heuristics technique is usually used to increase the performance of the combination technique. Therefore, this article provides an overview of meta-heuristic methods and their combinations 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

Fuzzy Values؛ Meta-heuristic؛ Hybridization؛ Memetic Algorithm