Research on Fresh Produce Simultaneous Delivery and Pickup Vehicle Path Optimization

Jun Wan, Jingru Wang

2022

Abstract

To address the two-way circulation problem of pickup and delivery of fresh agricultural products arising from the perishable characteristics of fresh agricultural products, a fresh agricultural products simultaneous delivery and pickup vehicle path optimization model is constructed with the goal of total cost optimization based on the start-up cost, transportation cost, carbon emission cost and time penalty cost of vehicles in the distribution process. To solve the problem that the ant colony algorithm is robust but easy to fall into local optimum, it is combined with genetic algorithm to improve the global search ability, and the proposed ant colony genetic algorithm’s move probability selection rule, pheromone transfer strategy and crossover operator are improved to solve the model. The model and algorithm are simulated through examples, and the experimental results show that the optimized model and hybrid algorithm can propose a cost-optimal solution that can improve the vehicle loading rate while ensuring customer satisfaction, and can provide a reference for logistics companies to make vehicle path decisions for fresh produce delivery and pickup.

Paper Citation

in Harvard Style

Wan J. and Wang J. (2022). Research on Fresh Produce Simultaneous Delivery and Pickup Vehicle Path Optimization. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 161-171. DOI: 10.5220/0012071500003624

in Bibtex Style

@conference{pmbda22,
author={Jun Wan and Jingru Wang},
title={Research on Fresh Produce Simultaneous Delivery and Pickup Vehicle Path Optimization},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={161-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012071500003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - Research on Fresh Produce Simultaneous Delivery and Pickup Vehicle Path Optimization
SN - 978-989-758-658-3
AU - Wan J.
AU - Wang J.
PY - 2022
SP - 161
EP - 171
DO - 10.5220/0012071500003624
PB - SciTePress