Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation)

3 avg rating
( 1 ratings by Goodreads )
 
9781461356042: Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation)

Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in such a way, the relationships between the variables involved in the problem domain are explicitly and effectively captured and exploited.
This text constitutes the first compilation and review of the techniques and applications of this new tool for performing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is clearly divided into three parts. Part I is dedicated to the foundations of EDAs. In this part, after introducing some probabilistic graphical models - Bayesian and Gaussian networks - a review of existing EDA approaches is presented, as well as some new methods based on more flexible probabilistic graphical models. A mathematical modeling of discrete EDAs is also presented. Part II covers several applications of EDAs in some classical optimization problems: the travelling salesman problem, the job scheduling problem, and the knapsack problem. EDAs are also applied to the optimization of some well-known combinatorial and continuous functions. Part III presents the application of EDAs to solve some problems that arise in the machine learning field: feature subset selection, feature weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the search for optimal weights in artificial neural networks.
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is a useful and interesting tool for researchers working in the field of evolutionary computation and for engineers who face real-world optimization problems. This book may also be used by graduate students and researchers in computer science.
`... I urge those who are interested in EDAs to study this well-crafted book today.' David E. Goldberg, University of Illinois Champaign-Urbana.

"synopsis" may belong to another edition of this title.

Buy New View Book
List Price: US$ 329.00
US$ 293.73

Convert Currency

Shipping: FREE
From United Kingdom to U.S.A.

Destination, Rates & Speeds

Add to Basket

Top Search Results from the AbeBooks Marketplace

1.

Published by Springer-Verlag New York Inc., United States (2012)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 10
Seller
Book Depository hard to find
(London, United Kingdom)
Rating
[?]

Book Description Springer-Verlag New York Inc., United States, 2012. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in such a way, the relationships between the variables involved in the problem domain are explicitly and effectively captured and exploited. This text constitutes the first compilation and review of the techniques and applications of this new tool for performing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is clearly divided into three parts. Part I is dedicated to the foundations of EDAs. In this part, after introducing some probabilistic graphical models - Bayesian and Gaussian networks - a review of existing EDA approaches is presented, as well as some new methods based on more flexible probabilistic graphical models.A mathematical modeling of discrete EDAs is also presented. Part II covers several applications of EDAs in some classical optimization problems: the travelling salesman problem, the job scheduling problem, and the knapsack problem. EDAs are also applied to the optimization of some well-known combinatorial and continuous functions. Part III presents the application of EDAs to solve some problems that arise in the machine learning field: feature subset selection, feature weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the search for optimal weights in artificial neural networks. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is a useful and interesting tool for researchers working in the field of evolutionary computation and for engineers who face real-world optimization problems. This book may also be used by graduate students and researchers in computer science. .I urge those who are interested in EDAs to study this well-crafted book today. David E. Goldberg, University of Illinois Champaign-Urbana. Softcover reprint of the original 1st ed. 2002. Bookseller Inventory # LIE9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 293.73
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

2.

Published by Springer-Verlag New York Inc., United States (2012)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 10
Print on Demand
Seller
The Book Depository
(London, United Kingdom)
Rating
[?]

Book Description Springer-Verlag New York Inc., United States, 2012. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in such a way, the relationships between the variables involved in the problem domain are explicitly and effectively captured and exploited. This text constitutes the first compilation and review of the techniques and applications of this new tool for performing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is clearly divided into three parts. Part I is dedicated to the foundations of EDAs. In this part, after introducing some probabilistic graphical models - Bayesian and Gaussian networks - a review of existing EDA approaches is presented, as well as some new methods based on more flexible probabilistic graphical models.A mathematical modeling of discrete EDAs is also presented. Part II covers several applications of EDAs in some classical optimization problems: the travelling salesman problem, the job scheduling problem, and the knapsack problem. EDAs are also applied to the optimization of some well-known combinatorial and continuous functions. Part III presents the application of EDAs to solve some problems that arise in the machine learning field: feature subset selection, feature weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the search for optimal weights in artificial neural networks. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is a useful and interesting tool for researchers working in the field of evolutionary computation and for engineers who face real-world optimization problems. This book may also be used by graduate students and researchers in computer science. .I urge those who are interested in EDAs to study this well-crafted book today. David E. Goldberg, University of Illinois Champaign-Urbana. Softcover reprint of the original 1st ed. 2002. Bookseller Inventory # AAV9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 293.73
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

3.

Published by Springer-Verlag New York Inc., United States (2012)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 10
Print on Demand
Seller
The Book Depository US
(London, United Kingdom)
Rating
[?]

Book Description Springer-Verlag New York Inc., United States, 2012. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in such a way, the relationships between the variables involved in the problem domain are explicitly and effectively captured and exploited. This text constitutes the first compilation and review of the techniques and applications of this new tool for performing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is clearly divided into three parts. Part I is dedicated to the foundations of EDAs. In this part, after introducing some probabilistic graphical models - Bayesian and Gaussian networks - a review of existing EDA approaches is presented, as well as some new methods based on more flexible probabilistic graphical models.A mathematical modeling of discrete EDAs is also presented. Part II covers several applications of EDAs in some classical optimization problems: the travelling salesman problem, the job scheduling problem, and the knapsack problem. EDAs are also applied to the optimization of some well-known combinatorial and continuous functions. Part III presents the application of EDAs to solve some problems that arise in the machine learning field: feature subset selection, feature weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the search for optimal weights in artificial neural networks. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is a useful and interesting tool for researchers working in the field of evolutionary computation and for engineers who face real-world optimization problems. This book may also be used by graduate students and researchers in computer science. .I urge those who are interested in EDAs to study this well-crafted book today. David E. Goldberg, University of Illinois Champaign-Urbana. Softcover reprint of the original 1st ed. 2002. Bookseller Inventory # AAV9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 300.99
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

4.

Pedro Larranaga
Published by Springer-Verlag New York Inc. (2012)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Quantity Available: > 20
Print on Demand
Seller
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description Springer-Verlag New York Inc., 2012. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # LQ-9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 290.00
Convert Currency

Add to Basket

Shipping: US$ 11.71
From United Kingdom to U.S.A.
Destination, Rates & Speeds

5.

Pedro Larranaga
Published by Springer-Verlag New York Inc. (2012)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Quantity Available: > 20
Print on Demand
Seller
Pbshop
(Wood Dale, IL, U.S.A.)
Rating
[?]

Book Description Springer-Verlag New York Inc., 2012. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 307.13
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

6.

Larrañaga, Pedro
Published by Springer (2016)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 1
Print on Demand
Seller
Ria Christie Collections
(Uxbridge, United Kingdom)
Rating
[?]

Book Description Springer, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9781461356042_lsuk

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 309.40
Convert Currency

Add to Basket

Shipping: US$ 5.03
From United Kingdom to U.S.A.
Destination, Rates & Speeds

7.

Published by Springer (2001)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Softcover Quantity Available: 15
Print on Demand
Seller
Rating
[?]

Book Description Springer, 2001. Book Condition: New. This item is printed on demand for shipment within 3 working days. Bookseller Inventory # LP9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 328.61
Convert Currency

Add to Basket

Shipping: US$ 4.65
From Germany to U.S.A.
Destination, Rates & Speeds

8.

PEDRO LARRAÇÑAGA
Published by Springer (2012)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 10
Seller
Herb Tandree Philosophy Books
(Stroud, GLOS, United Kingdom)
Rating
[?]

Book Description Springer, 2012. Paperback. Book Condition: NEW. 9781461356042 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE0301879

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 330.54
Convert Currency

Add to Basket

Shipping: US$ 10.40
From United Kingdom to U.S.A.
Destination, Rates & Speeds

9.

Larrañaga, Pedro [Editor]; Lozano, José A. [Editor];
Published by Springer (2013)
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 10
Print on Demand
Seller
Ergodebooks
(RICHMOND, TX, U.S.A.)
Rating
[?]

Book Description Springer, 2013. Paperback. Book Condition: New. This item is printed on demand. Bookseller Inventory # INGM9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 347.42
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

10.

Published by Springer
ISBN 10: 1461356040 ISBN 13: 9781461356042
New Paperback Quantity Available: 20
Seller
BuySomeBooks
(Las Vegas, NV, U.S.A.)
Rating
[?]

Book Description Springer. Paperback. Book Condition: New. Paperback. 382 pages. Dimensions: 9.2in. x 6.1in. x 0.9in.Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in such a way, the relationships between the variables involved in the problem domain are explicitly and effectively captured and exploited. This text constitutes the first compilation and review of the techniques and applications of this new tool for performing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is clearly divided into three parts. Part I is dedicated to the foundations of EDAs. In this part, after introducing some probabilistic graphical models - Bayesian and Gaussian networks - a review of existing EDA approaches is presented, as well as some new methods based on more flexible probabilistic graphical models. A mathematical modeling of discrete EDAs is also presented. Part II covers several applications of EDAs in some classical optimization problems: the travelling salesman problem, the job scheduling problem, and the knapsack problem. EDAs are also applied to the optimization of some well-known combinatorial and continuous functions. Part III presents the application of EDAs to solve some problems that arise in the machine learning field: feature subset selection, feature weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the search for optimal weights in artificial neural networks. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is a useful and interesting tool for researchers working in the field of evolutionary computation and for engineers who face real-world optimization problems. This book may also be used by graduate students and researchers in computer science. . . . I urge those who are interested in EDAs to study this well-crafted book today. David E. Goldberg, University of Illinois Champaign-Urbana. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9781461356042

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 365.96
Convert Currency

Add to Basket

Shipping: US$ 3.95
Within U.S.A.
Destination, Rates & Speeds

There are more copies of this book

View all search results for this book