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.
