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Journal ArticleDOI

Selection and covariance.

George R. Price
- 01 Aug 1970 - 
- Vol. 227, Iss: 5257, pp 520-521
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TLDR
This is a preliminary communication describing applications to genetical selection of a new mathematical treatment of selection in general.
Abstract
THIS is a preliminary communication describing applications to genetical selection of a new mathematical treatment of selection in general.

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Journal ArticleDOI

Modification point depth and genome growth in genetic programming

TL;DR: Evidence which directly contradicts intron theories as applied to tree-based genetic programming is presented and a new model of genome growth is proposed, which is a function of the mean depth of the modification (crossover or mutation) point.
Journal ArticleDOI

Natural selection. III. Selection versus transmission and the levels of selection.

TL;DR: In this article, the authors extend Williams' approach to show that the ratio of selection bias to transmission bias provides a unifying framework for diverse biological problems, such as Haldane and Lande's mutation-selection balance, Eigen's error threshold and quasispecies, Van Valen's clade selection, Price's multilevel formulation of group selection, Szathmary and Demeter's evolutionary origin of primitive cells, Levin and Bull's short-sighted evolution of HIV virulence, Frank's timescale analysis of microbial metabolism, and Maynard Smith and Szath
Journal ArticleDOI

Revealing how species loss affects ecosystem function: the trait-based Price Equation partition.

TL;DR: A new trait-based Price Equation partition is applied to studies of species loss from grassland plant communities and protist microcosm food webs, finding that post-loss changes in the relationship between species' traits and their functional contributions alter ecosystem function more than nonrandom loss of species with particular traits.
BookDOI

Massively Parallel Evolutionary Computation on GPGPUs

TL;DR: This book is a comprehensive introduction to the approach, explaining the characteristics of the hardware used, and presenting a representative project to develop a platform for automatic parallelization of evolutionary computing (EC) on GPGPUs.