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Constraint-Handling in Evolutionary Optimization (Hardcover, 2009 ed.)
Loot Price: R3,025
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Constraint-Handling in Evolutionary Optimization (Hardcover, 2009 ed.)
Series: Studies in Computational Intelligence, 198
Expected to ship within 10 - 15 working days
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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
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