Evolutionary Algorithms for Solving Multi-Objective Problems

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Genetic and Evolutionary Computation

ISBN:	1489994602
ISBN 13:	9781489994608
Autor:	Coello Coello, Carlos/Lamont, Gary B/van Veldhuizen, David A
Verlag:	Springer Verlag GmbH
Umfang:	xxi, 800 S.
Erscheinungsdatum:	28.10.2014
Auflage:	2/2014
Produktform:	Kartoniert
Einband:	Kartoniert

This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and student-friendly fashion, incorporating state-of-the-art research results. The diversity of serial and parallel MOEA structures are given, evaluated and compared. The book provides detailed insight into the application of MOEA techniques to an array of practical problems. The assortment of test suites are discussed along with the variety of appropriate metrics and relevant statistical performance techniques. Distinctive features of the new edition include: Designed for graduate courses on Evolutionary MultiObjective Optimization, with exercises and links to a complete set of teaching material including tutorials Updated and expanded MOEA exercises, discussion questions and research ideas at the end of each chapter New chapter devoted to coevolutionary and memetic MOEAs with added material on solving constrained multiobjective problems Additional material on the most recent MOEA test functions and performance measures, as well as on the latest developments on the theoretical foundations of MOEAs An exhaustive index and bibliography This selfcontained reference is invaluable to students, researchers and in particular to computer scientists, operational research scientists and engineers working in evolutionary computation, genetic algorithms and artificial intelligence. „.If you still do not know this book, then, I urge you to run-don’t walk-to your nearest on-line or off-line book purveyor and click, signal or otherwise buy this important addition to our literature.“ David E. Goldberg, University of Illinois at UrbanaChampaign

Artikelnummer: 7807320 Kategorie: Informatik

Beschreibung

Beschreibung

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom, with links to a complete set of teaching tutorials, exercises and solutions. The book contains exhaustive appendices, index and bibliography. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.