Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated:
This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. 188 pp. Englisch. N° de réf. du vendeur 9783540317586
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent advances in evolutionary AlgorithmsGenetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms . N° de réf. du vendeur 4887612
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Buch. Etat : Neu. Advances in Evolutionary Algorithms | Theory, Design and Practice | Chang Wook Ahn | Buch | Studies in Computational Intelligence | xvi | Englisch | 2006 | Springer | EAN 9783540317586 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102243622
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated:Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines.Demonstrating the practical use of the suggested road map.Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications.Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain.Opening an important track for multiobjective GEA research that relies on decomposition principle.This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch. N° de réf. du vendeur 9783540317586
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