Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/1357
Title: Optimization of yard crane scheduling using particle swarm optimization with genetic algorithm operators (PSOGAO)
Authors: Kumar, M Manoj
Omkar, S N
Keywords: Container terminal
GA operators
Heuristics
Particle swarm optimization
Yard crane scheduling
Issue Date: May-2008
Publisher: CSIR
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.
Description: 335-339
URI: http://hdl.handle.net/123456789/1357
ISSN: 0022-4456
Appears in Collections: JSIR Vol.67(05) [May 2008]

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