Evolutionary Computation for Dynamic Optimization Problems: 490 (Studies in Computational Intelligence, 490) - Hardcover

Hardcover

ISBN 10: 3642384153 ISBN 13: 9783642384158

Publisher: Springer, 2013

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2013
• Language: English
• ISBN 10: 3642384153
• ISBN 13: 9783642384158
• Binding: Hardcover
• Number of pages: 498
• Editor: Yang Shengxiang, Yao Xin