Advances in Evolutionary Algorithms
Chang Wook Ahn
Sold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since 23 January 2017
New - Soft cover
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Add to basketSold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since 23 January 2017
Condition: New
Quantity: 1 available
Add to basketThis 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.
Seller Inventory # 9783642068607
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.
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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