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Self-Organized Criticality, Optimization and Biodiversity | | Roberto N. Onody
; Paulo A. de Castro
; | | Date: |
6 Oct 2004 | | Journal: | International Journal of Modern Physics C 14, 911-916 (2002) | | Subject: | Populations and Evolution | q-bio.PE | | Abstract: | By 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 $ au$ 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. | | Source: | arXiv, q-bio.PE/0410007 | | Services: | Forum | Review | PDF | Favorites | |
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