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Computer Science - Information Systems and Applications | Configurable Intelligent Optimization Algorithm - Design and Practice in Manufacturing

Configurable Intelligent Optimization Algorithm

Design and Practice in Manufacturing

Tao, Fei, Zhang, Lin, Laili, Yuanjun

2015, XIII, 361 p. 115 illus., 105 illus. in color.

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  • Introduces novel configuration method for intelligent optimization algorithms to enable increased efficiency in manufacturing
  • Provides flexible, robust and reusable intelligent optimization algorithms to enable the solution of complicated problems in manufacturing systems
  • Accessible to experienced programmers as well as beginners

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.

Content Level » Research

Keywords » Configuration Intelligent Optimization Algorithm - Hybrid Intelligent Optimization Algorithm - Manufacturing System - Optimization and Scheduling - Parallel Intelligent Optimization Algorithm

Related subjects » Computational Science & Engineering - Information Systems and Applications - Production & Process Engineering

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