Fresh seafood delivery routing problem using an improved ant colony optimization

Baozhen Yao, Chao Chen (Corresponding author), Xiaolin Song, Xiaoli Yang

Research output: Contribution to journalArticleAcademicpeer-review

35 Citations (Scopus)
2 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)163-186
Number of pages24
JournalAnnals of Operations Research
Issue number1-2
Publication statusPublished - 15 Feb 2019
Externally publishedYes


  • Ant colony optimization
  • Delivery routing problem
  • Energy cost
  • Fresh seafood
  • Multi-depot


Dive into the research topics of 'Fresh seafood delivery routing problem using an improved ant colony optimization'. Together they form a unique fingerprint.

Cite this