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Research on Logistics Distribution Vehicle Scheduling Based on Heuristic Genetic Algorithm

Author

Listed:
  • Chun-Li Wang
  • Yang Wang
  • Ze-Yu Zeng
  • Cheng-Yu Lin
  • Qiu-Li Yu
  • Muhammad Javaid

Abstract

To study the genetic algorithm, this paper solves the problem of shop scheduling under the premise of layout Flying−V. Firstly, double-layer coding is used for optimization. When calculating fitness, the time to return to the mouth P&D approaches the optimum through the greedy idea. Individual screening is carried out through the roulette method. Different crossover and genetic operators are used for different coding layers. Through thinking of elitism and catastrophe and the immigration operator to ensure the diversity of the algorithm in the calculation process, it can achieve the recommendation of the number of cars to control the cost. The stability of the algorithm is good. It can recommend a better picking sequence and number of carts for various types of picking problems.

Suggested Citation

  • Chun-Li Wang & Yang Wang & Ze-Yu Zeng & Cheng-Yu Lin & Qiu-Li Yu & Muhammad Javaid, 2021. "Research on Logistics Distribution Vehicle Scheduling Based on Heuristic Genetic Algorithm," Complexity, Hindawi, vol. 2021, pages 1-8, August.
    • Handle: RePEc:hin:complx:8275714
    DOI: 10.1155/2021/8275714
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    Cited by:

    1. Feng Li & Wenjing Ai & Tianli Ju, 2022. "Cold Chain Logistics Distribution Path Planning of Fresh Products in Beijing Subcenter," Sustainability, MDPI, vol. 14(17), pages 1-25, August.

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