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Evolutionary Computation for Dynamic Optimization Problems
Details
This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time.
Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.
Compilation on the state-of-the-art of evolutionary computation for dynamic optimization problems Valuable reference book for the domain of Evolutionary Computation for Dynamic Optimization Problems in particular and Computational Intelligence in general Written by leading experts in the field
Inhalt
Part I Fundamentals.- Part II Algorithm Design.- Part III Theoretical Analysis.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783642384158
- Auflage 2013
- Editor Xin Yao, Shengxiang Yang
- Sprache Englisch
- Genre Allgemeines & Lexika
- Lesemotiv Verstehen
- Größe H241mm x B160mm x T32mm
- Jahr 2013
- EAN 9783642384158
- Format Fester Einband
- ISBN 3642384153
- Veröffentlichung 28.05.2013
- Titel Evolutionary Computation for Dynamic Optimization Problems
- Untertitel Studies in Computational Intelligence 490
- Gewicht 910g
- Herausgeber Springer Berlin Heidelberg
- Anzahl Seiten 500