Chang Wook Ahn

Advances in Evolutionary Algorithms (eBook, PDF)

Theory, Design and Practice

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 172
• Erscheinungstermin: 22. Mai 2007
• Englisch
• ISBN-13: 9783540317593
• Artikelnr.: 43886016

Autorenporträt

Chang Wook Ahn, Samsung Advanced Institute of Technology (SAIT), Gyeonggi-Do, Korea

Inhaltsangabe

Practical Genetic Algorithms.- Real-World Application: Routing Problem.- Elitist Compact Genetic Algorithms.- Real-coded Bayesian Optimization Algorithm.- Multiobjective Real-coded Bayesian Optimization Algorithm.- Conclusions.