Abstract
This paper presents a multi-objective simulated annealing (MOSA) algorithm for the static problem of routing electric vehicles with limited battery capacity in a Personal Rapid Transit (PRT) system. The problem studied in this work aims to minimize both the total energy consumption and the number of vehicles used. Our algorithm uses a strategy of Pareto-dominant-based fitness to accept new solutions. The performance and computational costs of MOSA are studied on a set of randomly generated instances. Algorithm is found to be effective for the multi-objective version of the PRT problem.
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Chebbi, O., Chaouachi, J. (2014). Multiple-Objective Simulated Annealing Optimization Approach for Vehicle Management in Personal Rapid Transit Systems. In: Mikulski, J. (eds) Telematics - Support for Transport. TST 2014. Communications in Computer and Information Science, vol 471. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45317-9_30
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DOI: https://doi.org/10.1007/978-3-662-45317-9_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45316-2
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