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Constraint-Handling in Evolutionary Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2009) Loot Price: R2,927
Discovery Miles 29 270
Constraint-Handling in Evolutionary Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2009): Efren Mezura-Montes

Constraint-Handling in Evolutionary Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2009)

Efren Mezura-Montes

Series: Studies in Computational Intelligence, 198

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Loot Price R2,927 Discovery Miles 29 270 | Repayment Terms: R274 pm x 12*

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Evolutionary algorithms (EAs), as well as other bio-inspired heuristics, are widely usedto solvenumericaloptimizationproblems.However, intheir or- inal versions, they are limited to unconstrained search spaces i.e they do not include a mechanism to incorporate feasibility information into the ?tness function. On the other hand, real-world problems usually have constraints in their models. Therefore, a considerable amount of research has been d- icated to design and implement constraint-handling techniques. The use of (exterior) penalty functions is one of the most popular methods to deal with constrained search spaces when using EAs. However, other alternative me- ods have been proposed such as: special encodings and operators, decoders, the use of multiobjective concepts, among others. An e?cient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex op- mization problems. In this way, this subject deserves special research e?orts. After asuccessfulspecialsessiononconstraint-handlingtechniquesusedin evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007, and motivated by the kind invitation made by Dr. Janusz Kacprzyk, I decided to edit a book, with the aim of putting together recent studies on constrained numerical optimization using evolutionary algorithms and other bio-inspired approaches. The intended audience for this book comprises graduate students, prac- tionersandresearchersinterestedonalternativetechniquestosolvenumerical optimization problems in presence of constraints

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 198
Release date: October 2010
First published: 2009
Editors: Efren Mezura-Montes
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 264
Edition: Softcover reprint of hardcover 1st ed. 2009
ISBN-13: 978-3-642-10155-7
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD)
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-10155-0
Barcode: 9783642101557

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