Adaptive Evolutionary Optimization of Team Work

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dc.creatorBuchholtz, Volkhard
dc.creatorPoeschel, Thorsten
dc.date2002-03-20
dc.date.accessioned2026-07-07T02:44:45Z
dc.date.available2026-07-07T02:44:45Z
dc.descriptionWe discuss a new optimization strategy, which considerably improves the effectivity of evolutionary algorithms applied to a certain class of optimization problems. The basic principle is to solve first a simpler related problem, which is constructed by introducing additional degrees of freedom to the landscape. Starting from the solution in this simplified landscape we remove stepwise the added degrees of freedom. Our optimization strategy is demonstrated for a sample problem.
dc.description7 pages, 6 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0203412
dc.identifierhttp://arxiv.org/abs/cond-mat/0203412
dc.identifierInt. J. Bifurc. Chaos, Vol. 7, 751 (1997)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/19053
dc.subjectDisordered Systems and Neural Networks
dc.titleAdaptive Evolutionary Optimization of Team Work
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