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192.168.6.56/handle/123456789/48958Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | A. P ́etrowski, J. Dr ́eo | - |
| dc.date.accessioned | 2019-02-28T07:12:55Z | - |
| dc.date.available | 2019-02-28T07:12:55Z | - |
| dc.date.issued | 2003 | - |
| dc.identifier.isbn | 13 978-3-540-23022- | - |
| dc.identifier.uri | http://10.6.20.12:80/handle/123456789/48958 | - |
| dc.description | Each one of these metaheuristics is actually a family of methods, of which we try to discuss the essential elements. Some common features clearly appear in most metaheuristics, such as the use of diversification, to force the exploration of regions of the search space, rarely visited until now, and the use of intensification, to go thoroughly into some promising regions. | en_US |
| dc.language | en | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science+Business Media, LLC | en_US |
| dc.subject | Genetic Algorithms, Ant Colonies | en_US |
| dc.title | Metaheuristicsfor Hard Optimization Simulated Annealing, Tabu Search, Evolutionary and Genetic Algorithms, Ant Colonies, | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | Education Planning & Management(EDPM) | |
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