Evolutionary Computation for Dynamic Optimization Problems
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Author
Contributions
- Yao, Xin - Contributor
- SpringerLink (Online service) - Contributor
Publication
2013 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
117,500 words, Guess
Page Count
470 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiveevolutionarycomp00yang_895
- ISBN-139783642384165
- ISBN-103642384161
- Better World Books9783642384165
- Open LibraryOL27037546M
Classifications
- DDC006.3
- LCCQ342
Description
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.
Subjects
Series Statement
- Studies in Computational Intelligence -- 490
Other Editions
- Evolutionary Computation for Dynamic Optimization Problems
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