Self-Adaptive Heuristics for Evolutionary Computation
Evolutionary algorithms are successful biologically inspired meta-heuristics. Their success depends on adequate parameter settings. The question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer decades ago: self-adapt...
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| Format: | Electronisk eBog |
| Sprog: | English |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Udgivelse: | 1st ed. 2008. |
| Serier: | Studies in Computational Intelligence,
147 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-540-69281-2 |
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