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.
ISBN: | 9783642448430 |
Publication date: | 20th June 2015 |
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 |