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Foundations of Genetic Algorithms 1993 (FOGA 2)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Binding
Hardcover
Product Group
Book
Weight
1 lbs
Subject
Genetics
IsTextBook
No
ISBN
9781558602632
Publication Name
Foundations of Genetic Algorithms 1993 (Foga 2)
Item Length
9.3in
Publisher
Elsevier Science & Technology
Publication Year
1993
Series
Foundations of Genetic Algorithms Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.9in
Author
Foga
Item Width
7.3in
Item Weight
24.9 Oz
Number of Pages
322 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
1558602631
ISBN-13
9781558602632
eBay Product ID (ePID)
380064

Product Key Features

Author
Foga
Publication Name
Foundations of Genetic Algorithms 1993 (Foga 2)
Format
Hardcover
Language
English
Publication Year
1993
Series
Foundations of Genetic Algorithms Ser.
Type
Textbook
Number of Pages
322 Pages

Dimensions

Item Length
9.3in
Item Height
0.9in
Item Width
7.3in
Item Weight
24.9 Oz

Additional Product Features

Series Volume Number
Volume 2
Volume Number
Volume 2
Table of Content
Introduction Part 1: Foundation Issues Revisited Genetic Algorithms are Not Function Optimizers Generation Gaps Revisited Part 2: Modeling Genetic Algorithms Recombination Distributions for Genetic Algorithms An Executable Model of a Simple Genetic Algorithm Modeling Simple Genetic Algorithms Part 3: Deception and the Building Block Hypothesis Deception Considered Harmful Analyzing Deception in Trap Functions Relative Building-Block Fitness and the Building Block Hypothesis Part 4: Convergence and Genetic Diversity Accounting for Noise in the Sizing of Populations Population Diversity in an Immune System Model: Implications for Genetic Search Remapping Hyperspace During Genetic Search: Canonical Delta Folding Part 5: Genetic Operators and Their Analysis Real-Coded Genetic Algorithms and Interval-Schemata Genetic Set Recombination Crossover or Mutation? Simulated Crossover in Genetic Algorithms Part 6: Machine Learning Learning Boolean Functions with Genetic Algorithms: A PAC Analysis Is the Genetic Algorithm a Cooperative Learner? Hierarchical Automatic Function Definition in Genetic Programming Author Index Key Word Index
Copyright Date
1993
Topic
Life Sciences / Genetics & Genomics, Logic
Dewey Decimal
006.3/1
Intended Audience
Scholarly & Professional
Dewey Edition
21
Genre
Science, Mathematics

Item description from the seller

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