Configurable Intelligent Optimization Algorithm : Design and Practice in Manufacturing
著者
書誌事項
Configurable Intelligent Optimization Algorithm : Design and Practice in Manufacturing
（Springer series in advanced manufacturing / series editor, D. T. Pham）
Springer International Publishing, 2015
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内容説明・目次
内容説明
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.
目次
Brief History and Overview of Intelligent Optimization Algorithms.- Recent Advances of intelligent optimization algorithms in manufacturing.- Dynamic Configuration Intelligent Optimization Algorithms.- Improvement and hybridization of Intelligent Optimization Algorithms DC-OIA.- Parallel Intelligent Optimization Algorithms Based on DC-OIA.- Multi-objective Manufacturing Service Composition Optimal-Selection in Cloud Manufacturing System.- Simulation Task Scheduling and Migration in Distributed/Cloud Simulation System.- Partner Selection in Virtual Manufacturing/Enterprise.- Energy-Aware Cloud Service Scheduling in Clouds.- Submicron VLSI Routing Optimization with Timing Constraints.- Job Shop Scheduling.- Future Research Trends.- Future Application Trends.
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