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An Agent-Swarm Simulator for Dynamic Vehicle Routing Problem Empirical Analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11523 LNAI 246-250
DOI: 10.1007/978-3-030-24209-1_23
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Abstract

This demo shows an empirical analysis of the Dynamic Vehicle Routing Problem in multiple configurations, within a agent-swarm optimization scenario. With the purpose of statistically evaluating how solutions to this problem evolve when varying gobal system parameters, an agent-swarm simulator has been implemented within the Netlogo framework, and used to extract experimental data.

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Falcionelli, N., Sernani, P., Mekuria, D. N., & Dragoni, A. F. (2019). An Agent-Swarm Simulator for Dynamic Vehicle Routing Problem Empirical Analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11523 LNAI, pp. 246–250). Springer Verlag. https://doi.org/10.1007/978-3-030-24209-1_23

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