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http://nopr.niscpr.res.in/handle/123456789/1357Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kumar, M Manoj | - |
| dc.contributor.author | Omkar, S N | - |
| dc.date.accessioned | 2008-05-23T10:45:04Z | - |
| dc.date.available | 2008-05-23T10:45:04Z | - |
| dc.date.issued | 2008-05 | - |
| dc.identifier.issn | 0022-4456 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1357 | - |
| dc.description | 335-339 | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | CSIR | en_US |
| dc.source | JSIR Vol.67(5) [May 2008] | en_US |
| dc.subject | Container terminal | en_US |
| dc.subject | GA operators | en_US |
| dc.subject | Heuristics | en_US |
| dc.subject | Particle swarm optimization | en_US |
| dc.subject | Yard crane scheduling | en_US |
| dc.title | Optimization of yard crane scheduling using particle swarm optimization with genetic algorithm operators (PSOGAO) | en_US |
| dc.type | Article | en_US |
| 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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