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A survey of hybrid meta heuristic methods to solve location routing problems

2022/10/14 by Mehdi Fazli, Fazli, Mehdi, somayyeh faraji amoogin +1
Business, Management and Accounting · Engineering · #Facility Location and Emergency Management #Hybridization #Location routing #Memetic algorithm #Meta-heuristic #Optimization and Mathematical Programming #Vehicle Routing Optimization Methods

paper · doi:10.82521/ijo.2024.1018877

openalex publication_date 2022/10/14 · openalex created_date 2025/12/26 · openalex updated_date 2026/07/07

Abstract

In this article, we will examine the issues related to multi-period and multi-objective positioning and routing and examine the relevant limitations. 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.

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