Improved Compact Cuckoo Search Algorithm Applied to Location of Drone Logistics Hub

Jeng-Shyang Pan, Pei-Cheng Song, Shu-Chuan Chu, Yan-Jun Peng

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
1 Downloads (Pure)

Abstract

Drone logistics can play an important role in logistics at the end of the supply chain and special environmental logistics. At present, drone logistics is in the initial development stage, and the location of drone logistics hubs is an important issue in the optimization of logistics systems. This paper implements a compact cuckoo search algorithm with mixed uniform sampling technology, and, for the problem of weak search ability of the algorithm, this paper combines the method of recording the key positions of the search process and increasing the number of generated solutions to achieve further improvements, as well as implements the improved compact cuckoo search algorithm. Then, this paper uses 28 test functions to verify the algorithm. Aiming at the problem of the location of drone logistics hubs in remote areas or rural areas, this paper establishes a simple model that considers the traffic around the village, the size of the village, and other factors. It is suitable for selecting the location of the logistics hub in advance, reducing the cost of drone logistics, and accelerating the large-scale application of drone logistics. This paper uses the proposed algorithm for testing, and the test results indicate that the proposed algorithm has strong competitiveness in the proposed model.
Original languageEnglish
Article number333
JournalMathematics
Volume8
Issue number3
DOIs
Publication statusPublished - 1 Mar 2020
Externally publishedYes

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Keywords

  • Improved compact cuckoo search algorithm
  • Location of drone logistics hub
  • Sampling technology
  • Drone logistics

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