Evolutionary Computation for Dynamic Optimization Problems

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.

Inhaltsverzeichnis

Part I Fundamentals.- Part II Algorithm Design.- Part III Theoretical Analysis.

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Shengxian Yang (Herausgeber), Shengxiang Yang (Herausgeber), Yao (Herausgeber), Yao (Herausgeber), Xin Yao (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 31.05.2013
• EAN: 9783642384158
• ISBN: 978-3-642-38415-8
• Seiten: 470
• Abmessung: 160 mm x 244 mm x 33 mm
• Gewicht: 880 g
• Illustration: XXVIII, 470 p.
• Serien: Studies in Computational Intelligence; Studies in Computational Intelligence
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; C, Artificial Intelligence, engineering, Computational Intelligence, swarm intelligence, Hybrid Intelligent Systems, Meta-Heuristics