Evolutionary Computation for Dynamic Optimization Problems
Language: English
Published by Springer, 2013
- Hardcover
- New

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- Title
- Evolutionary Computation for Dynamic Optimization Problems
- Author
- Yang, Shengxiang (EDT); Yao, Xin (EDT)
- Publisher
- Springer
- Publication year
- 2013
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3642384153
- ISBN 13
- 9783642384158
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.
"Synopsis" may belong to another edition of 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.
"About the title" may belong to another edition of this title.
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