Fresh seafood delivery routing problem using an improved ant colony optimization

Baozhen Yao (), Chao Chen (), Xiaolin Song and Xiaoli Yang
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Baozhen Yao: Dalian University of Technology
Chao Chen: Dalian University of Technology
Xiaolin Song: Dalian Maritime University
Xiaoli Yang: Dalian Maritime University

Annals of Operations Research, 2019, vol. 273, issue 1, No 6, 163-186

Abstract: Abstract Energy cost for keeping fresh seafood in cold condition is a main feature of a fresh seafood delivery routing problem. In the delivery routing problem, energy cost varies during the transportation process and the service process. In addition, there are many fresh seafood product factories whose seafood products should be delivered to a set of customers. Therefore, this paper models the fresh seafood delivery problem as a multi-depot vehicle routing problem, which aims to find the routes with the least cost. Due to the complexity of the problem, a method is used to reduce the complexity by changing the multi-depot vehicle routing problem into a vehicle routing problem with a dummy depot in this paper. Then, ant colony optimization (ACO) is used to solve this problem. Scanning strategy and crossover operation are also adopted to improve the performance of ACO. At last, the computational results of the benchmark problems of the multi-depot vehicle routing problem indicate the effectiveness of the algorithm. Furthermore, the real-life fresh seafood delivery routing problem from Dalian city suggests the proposed model is feasible.

Keywords: Fresh seafood; Delivery routing problem; Multi-depot; Ant colony optimization; Energy cost (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s10479-017-2531-2

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