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Optimization of yard crane scheduling using particle swarm optimization with genetic algorithm operators (PSOGAO)

Kumar, Manoj M and Omkar, SN (2008) Optimization of yard crane scheduling using particle swarm optimization with genetic algorithm operators (PSOGAO). In: Journal of Scientific and Industrial Research, 67 (5). pp. 335-339.

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Abstract

This study presents optimization of a yard crane schedule (YCS) to perform a given set of container handling jobs with different ready times in order to minimize the sum of job waiting times or the total completion time for handling job. Particle swarm optimization with genetic algorithm operators (PSOGAO) has been successfully applied to optimize YCS. PSOGAO has been observed more efficacious than heuristic method.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to NISCAIR.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 10 Jun 2008
Last Modified: 27 Aug 2008 13:26
URI: http://eprints.iisc.ernet.in/id/eprint/14257

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