Research on Location Selection for Urban Networks of Less-than-Truckload Express Enterprises Based on Improved Immune Optimization Algorithm

نویسندگان

چکیده

With the transformation and upgrading of world economy entering a new normal, changes in fields industry consumption have brought business opportunities, there is large space for less-than-truckload (LTL) express market. Considering urban network resource operation status, this study aims to solve optimization problem location selection LTL under common delivery model. To minimize total cost logistics distribution, we established an integer programming model with constraints such as radiation range service-capacity limitations. A fixed reality-node strategy, expanded initial antibody group improved traditional elite individual retention strategy node-clustering was introduced. An immune algorithm further designed obtain globally optimal solutions. comparison existing algorithms, results verified practicability proposed location-selection problems express. We then conducted empirical analysis real-world enterprise’s reasonable central-south city China. The simulation effectiveness our algorithm. This provides solutions methods utilization LTL-express enterprises.

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ژورنال

عنوان ژورنال: Mathematics

سال: 2023

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math11061543