What you always wanted to know about genetic algorithms but were afraid to hear

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dc.creatorToffoli, Tommaso
dc.date2000-07-11
dc.date.accessioned2026-07-07T05:32:56Z
dc.date.available2026-07-07T05:32:56Z
dc.descriptionIn spite of their seemingly "obvious" virtues as a search strategy, genetic algorithms have ended up playing only a modest role as design tools in science and engineering. We review the reasons for this apparent failure, and we suggest a more relaxed view of their utility.
dc.description6 pages, Latex
dc.identifierhttps://arxiv.org/abs/nlin/0007013
dc.identifierhttp://arxiv.org/abs/nlin/0007013
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79836
dc.subjectAdaptation and Self-Organizing Systems
dc.titleWhat you always wanted to know about genetic algorithms but were afraid to hear
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