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Towards a New Evolutionary Computation: Advances on Estimation of Distribution A

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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 ...
ISBN-13
9783540290063
Book Title
Towards a New Evolutionary Computation
ISBN
9783540290063
Subject Area
Mathematics, Computers, Technology & Engineering
Publication Name
Towards a New Evolutionary Computation : Advances on Estimation of Distribution Algorithms
Publisher
Springer Berlin / Heidelberg
Item Length
11 in
Subject
Programming / Algorithms, Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Applied
Publication Year
2006
Series
Studies in Fuzziness and Soft Computing Ser.
Type
Textbook
Format
Mixed Lot
Language
English
Author
Pedro Larrañaga
Item Weight
48 Oz
Item Width
8.5 in
Number of Pages
Xvi, 294 Pages

About this product

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3540290060
ISBN-13
9783540290063
eBay Product ID (ePID)
49207516

Product Key Features

Number of Pages
Xvi, 294 Pages
Language
English
Publication Name
Towards a New Evolutionary Computation : Advances on Estimation of Distribution Algorithms
Subject
Programming / Algorithms, Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Applied
Publication Year
2006
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Author
Pedro Larrañaga
Series
Studies in Fuzziness and Soft Computing Ser.
Format
Mixed Lot

Dimensions

Item Weight
48 Oz
Item Length
11 in
Item Width
8.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2005-932568
Dewey Edition
22
Series Volume Number
192
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
005.1
Table Of Content
Linking Entropy to Estimation of Distribution Algorithms.- Entropy-based Convergence Measurement in Discrete Estimation of Distribution Algorithms.- Real-coded Bayesian Optimization Algorithm.- The CMA Evolution Strategy: A Comparing Review.- Estimation of Distribution Programming: EDA-based Approach to Program Generation.- Multi-objective Optimization with the Naive ID A.- A Parallel Island Model for Estimation of Distribution Algorithms.- GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm.- Bayesian Classifiers in Optimization: An EDA-like Approach.- Feature Ranking Using an EDA-based Wrapper Approach.- Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology.- Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem.
Synopsis
Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field. This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective.
LC Classification Number
TA329-348

Item description from the seller

grandeagleretail

grandeagleretail

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