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Linear Genetic Programming (Genetic and Evolutionary Computation) by Markus F. Brameier, Wolfgang Banzhaf (auth.) is a nonfiction available to read on EtoBox.

What is Linear Genetic Programming (Genetic and Evolutionary Computation) about?

**Linear Genetic Programming** examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional expressions or syntax trees used in traditional Genetic Programming (GP), Linear Genetic Programming (LGP) employs a linear program structure as genetic material whose primary characteristics 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. This volume investigates typical GP phenomena such as non-effective code, neutral variations and code growth from the perspective of linear GP. The text is divided into three parts, each of which details methodologies and illustrates applications. Part I introduces basic concepts of linear GP and presents efficient algorithms for analyzing and optimizing linear genetic programs during runtime. Part II explores the design of efficient LGP m

Who reads Linear Genetic Programming (Genetic and Evolutionary Computation)?

Author

Markus F. Brameier, Wolfgang Banzhaf (auth.)

Publisher

Springer Science+Business Media, LLC

Published

2007

Language

EN

ISBN

9781280800252

Category

nonfiction

Subjects

Science, Programming, Computer Science