Optimization of a Two-dimensional Rectangular Packing Problem Based on Simultaneous Delivery and Pickup of Multiple Vehicle Models

CHEN Qi-sai, NI Jing

Packaging Engineering ›› 2022 ›› Issue (19) : 226-234.

PDF(1978 KB)
PDF(1978 KB)
Packaging Engineering ›› 2022 ›› Issue (19) : 226-234. DOI: 10.19554/j.cnki.1001-3563.2022.19.026

Optimization of a Two-dimensional Rectangular Packing Problem Based on Simultaneous Delivery and Pickup of Multiple Vehicle Models

  • CHEN Qi-sai, NI Jing
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Abstract

The work aims to study the two-dimensional orthogonal packing problem with simultaneous delivery and pickup, to obtain the maximum average space utilization in the vehicle with consideration of the customers’ demands on the delivery and pickup, the dimension, weight of cargo and multiple vehicles. The hybrid tabu search genetic algorithm (TS-GA) for skyline packing scheme design with nine fitness values was proposed to solve the two-dimensional rectangular packing problem with simultaneous delivery and pickup. During the simulation test, mixing algorithm made the average space utilization in vehicles going to be loaded reach 88.04%, and the packing scheme for simultaneous delivery and pickup of 8 clients was acquired. Based on the hybrid tabu search genetic algorithm (TS-GA) for skyline packing scheme design with nine fitness values, a high space utilization for the two-dimensional rectangular packing problem with simultaneous delivery and pickup is acquired, and at the same time, the research on loading of simultaneous delivery and pickup is improved.

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CHEN Qi-sai, NI Jing. Optimization of a Two-dimensional Rectangular Packing Problem Based on Simultaneous Delivery and Pickup of Multiple Vehicle Models[J]. Packaging Engineering. 2022(19): 226-234 https://doi.org/10.19554/j.cnki.1001-3563.2022.19.026
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