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Evolution as Computation

Landweber, Laura F. and Winfree, Erik (2002) Evolution as Computation. Natural Computing Series. Springer , Berlin. ISBN 978-3-642-63081-1.

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The study of the genetic basis for evolution has flourished in this century, as well as our understanding of the evolvability and programmability of biological systems. Genetic algorithms meanwhile grew out of the realization that a computer program could use the biologically-inspired processes of mutation, recombination, and selection to solve hard optimization problems. Genetic and evolutionary programming provide further approaches to a wide variety of computational problems. A synthesis of these experiences reveals fundamental insights into both the computational nature of biological evolution and processes of importance to computer science. Topics include biological models of nucleic acid information processing and genome evolution; molecules, cells, and metabolic circuits that compute logical relationships; the origin and evolution of the genetic code; and the interface with genetic algorithms, genetic and evolutionary programming. This research combines theory and experiments to understand the computations that take place in cells and the combinatorial processes that drive evolution at the molecular level.

Item Type:Book
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URLURL TypeDescription
Winfree, Erik0000-0002-5899-7523
Additional Information:© 2002 Springer-Verlag Berlin Heidelberg.
Subject Keywords:Algorithms; evolution; genetic algorithm; genetic algorithms; genome; mutation; optimization; the origin
Series Name:Natural Computing Series
Record Number:CaltechAUTHORS:20200512-134206543
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:103149
Deposited By: Tony Diaz
Deposited On:12 May 2020 20:47
Last Modified:16 Nov 2021 18:18

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