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Springer Linear Genetic Programming (Genetic and Evolutionary Computation)

Name: Linear Genetic Programming (Genetic and Evolutionary Computation)
Brand: Springer

AI & Machine Learning

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Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of linear program structure are exploited to achieve acceleration of both execution time and evolutionary progress. Online analysis and optimization of program code lead to more efficient techniques and contribute to a better understanding of the method and its parameters. In particular, the reduction of structural variation step size and non-effective variations play a key role in finding higher quality and less complex solutions. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP. This book serves as a reference for researchers; it also contains sufficient introductory material for students and those who are new to the field.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0387310290
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 11 December 2006
Listed Since: 22 February 2007

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Springer Linear Genetic Programming (Genetic and Evolutionary Computation)

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