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] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 67(5) (2008) 335-339.pdf | 89.21 kB | Adobe PDF | View/Open |
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