Foundations of Genetic Algorithms 1993 (FOGA 2).

Other author Whitley, Darrell
Other author FOGA Staff.
Format Electronic
Publication InfoMorgan Kaufmann [Imprint] San Diego : Elsevier Science & Technology Books
Description322 p. 09.300 x 07.260 in.
Supplemental ContentFull text available from eBook - Biochemistry, Genetics and Molecular Biology (Legacy 2) [EBCBGMBL2]
Subjects

SeriesFoundations of Genetic Algorithms Ser.
Summary Annotation Foundations of Genetic Algorithms, Volume 2 provides insight of theoretical work in genetic algorithms. This book provides a general understanding of a canonical genetic algorithm.Organized into six parts encompassing 19 chapters, this volume begins with an overview of genetic algorithms in the broader adaptive systems context. This text then reviews some results in mathematical genetics that use probability distributions to characterize the effects of recombination on multiple loci in the absence of selection. Other chapters examine the static building block hypothesis (SBBH), which is the underlying assumption used to define deception. This book discusses as well the effect of noise on the quality of convergence of genetic algorithms. The final chapter deals with the primary goal in machine learning and artificial intelligence, which is to dynamically and automatically decompose problems into simpler problems to facilitate their solution.This book is a valuable resource for theorists and genetic algorithm researchers.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9781558602632
ISBN1558602631 (Trade Cloth) Out of Stock Indefinitely
Standard identifier# 9781558602632
Stock number00991439

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available