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Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required. Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
This book investigates the design and application of multiobjective evolutionary algorithms, focusing on their use in control and scheduling problems. The authors provide a thorough treatment of both the theoretical underpinnings and practical implementation of these algorithms, making complex concepts accessible without requiring profound mathematical knowledge. It is written for a broad audience, including engineers, researchers, and students with a foundational understanding of evolutionary computation.
The book is presented as a comprehensive resource for understanding and applying multiobjective evolutionary algorithms. Its approach emphasizes both theory and practice, aiming to be accessible to a wide range of readers from engineers to graduate students. The content covers algorithm design and its application in critical domains like control and scheduling. The stated goal is to provide a useful addition to the bookshelves of those interested in evolutionary computation and multiobjective optimization.
Page Count:
296
Publication Date:
2010-10-22
Publisher:
Springer London
ISBN-10:
1849969353
ISBN-13:
9781849969352
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