Self-Organized Criticality, Optimization and Biodiversity

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dc.creatorOnody, Roberto N.
dc.creatorde Castro, Paulo A.
dc.date2004-10-06
dc.date.accessioned2026-07-07T05:58:40Z
dc.date.available2026-07-07T05:58:40Z
dc.descriptionBy driven to extinction species less or poorly adapted, the Darwinian evolutionary theory is intrinsically an optimization theory. We investigate two optimization algorithms with such evolutionary characteristics: the Bak-Sneppen and the Extremal Optimization. By comparing their mean fitness in the steady state regime, we conclude that the Bak-Sneppen dynamics is more efficient than the Extremal Optimization if the parameter $τ$ is in the interval $[0,0.86]$. The determination of the spatial correlation and the probability distribution of the avalanches show that the Extremal Optimization dynamics does not lead the system into a critical self-organized state. Trough a discrete form of the Bak-Sneppen model we argument that biodiversity is an essential requisite to preserve the self-organized criticality.
dc.description3 pages, 3 figures, published in to International Journal of Modern Physics C
dc.identifierhttps://arxiv.org/abs/q-bio/0410007
dc.identifierhttp://arxiv.org/abs/q-bio/0410007
dc.identifierInternational Journal of Modern Physics C 14, 911-916 (2002)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88446
dc.subjectPopulations and Evolution
dc.titleSelf-Organized Criticality, Optimization and Biodiversity
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