Linear Genetic Programming

Name: Linear Genetic Programming
Brand: Springer-Verlag New York Inc.
SKU: 9781441940483
Price: 3278 CZK
Availability: InStock

Autor: Markus Brameier, Wolfgang Banzhaf

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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3 278 Kč

Linear Genetic Programming examines the evolution of imperative computer programs written as linear...

Informace o knize

Autor

Markus Brameier, Wolfgang Banzhaf

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

315

EAN

9781441940483

ISBN

1441940480

Enbook ID

01422575

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

510

Rozměry

155 x 235 x 19

Kompletní popis

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 methods and genetic operators inspired by the results achieved in Part I. Part III investigates more advanced techniques and phenomena, including effective step size control, diversity control, code growth, and neutral variations.§The book provides a solid introduction to the field of linear GP, as well as a more detailed, comprehensive examination of its principles and techniques. Researchers and students alike are certain to regard this text as an indispensable resource.Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. 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 includes sufficient introductory material for students and newcomers to the field.

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