Ant colony based dynamic voronoi method for the multi-depot multiple TSP
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URI: https://hdl.handle.net/10902/36303ISBN: 979-8-3503-0836-5
ISBN: 979-8-3503-0837-2
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Publicado en
IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, 1721-1728
Editorial
Institute of Electrical and Electronics Engineers, Inc.
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Palabras clave
Multiple traveling salesman problem
Ant colony optimization
Voronoi regions
Resumen/Abstract
This paper introduces a novel approach to solving the Multi-Depot Multiple Traveling Salesman Problem (MDMTSP), an extension of the classic Traveling Salesman Problem (TSP) characterized by multiple salesmen operating from various depots. The MDMTSP is particularly relevant in practical scenarios such as logistics and distribution, where efficient routing is crucial. Our approach integrates the Ant Colony System (ACS) with dynamically updated Voronoi regions, offering an innovative method to efficiently organize the assign-ment and routing of salesmen. This method not only optimizes the salesmen's routes but also ensures an efficient distribution of workload among them, leading to overall reduced travel distances. Experimental results demonstrate the effectiveness of our approach, highlighting significant improvements in route optimization compared to other existing methods.
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