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Evolutionary Computation for Dynamic Optimization Problems

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Evolutionary Computation for Dynamic Optimization Problems 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 Edition

ISBN: 9783642448430
Publication date:
Author: Shengxiang Yang, Xin Yao
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 470 pages
Series: Studies in Computational Intelligence
Genres: Artificial intelligence