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Configurable Intelligent Optimization Algorithm - Design and Practice in Manufacturing (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R3,816
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Configurable Intelligent Optimization Algorithm - Design and Practice in Manufacturing (Paperback, Softcover reprint of the original 1st ed. 2015)
Series: Springer Series in Advanced Manufacturing
Expected to ship within 10 - 15 working days
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Presenting the concept and design and implementation of
configurable intelligent optimization algorithms in manufacturing
systems, this book provides a new configuration method to optimize
manufacturing processes. It provides a comprehensive elaboration of
basic intelligent optimization algorithms, and demonstrates how
their improvement, hybridization and parallelization can be applied
to manufacturing. Furthermore, various applications of these
intelligent optimization algorithms are exemplified in detail,
chapter by chapter. The intelligent optimization algorithm is not
just a single algorithm; instead it is a general advanced
optimization mechanism which is highly scalable with robustness and
randomness. Therefore, this book demonstrates the flexibility of
these algorithms, as well as their robustness and reusability in
order to solve mass complicated problems in manufacturing. Since
the genetic algorithm was presented decades ago, a large number of
intelligent optimization algorithms and their improvements have
been developed. However, little work has been done to extend their
applications and verify their competence in solving complicated
problems in manufacturing. This book will provide an invaluable
resource to students, researchers, consultants and industry
professionals interested in engineering optimization. It will also
be particularly useful to three groups of readers: algorithm
beginners, optimization engineers and senior algorithm designers.
It offers a detailed description of intelligent optimization
algorithms to algorithm beginners; recommends new configurable
design methods for optimization engineers, and provides future
trends and challenges of the new configuration mechanism to senior
algorithm designers.
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