Configurable Intelligent Optimization Algorithm

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Release : 2014-08-18
Genre : Computers
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Book Rating : 408/5 ( reviews)

Configurable Intelligent Optimization Algorithm - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Configurable Intelligent Optimization Algorithm write by Fei Tao. This book was released on 2014-08-18. Configurable Intelligent Optimization Algorithm available in PDF, EPUB and Kindle. 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.

Learning and Intelligent Optimization

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Release : 2012-10-01
Genre : Computers
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Book Rating : 135/5 ( reviews)

Learning and Intelligent Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning and Intelligent Optimization write by Youssef Hamadi. This book was released on 2012-10-01. Learning and Intelligent Optimization available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.

Reactive Search and Intelligent Optimization

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Release : 2008-12-16
Genre : Business & Economics
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Book Rating : 248/5 ( reviews)

Reactive Search and Intelligent Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reactive Search and Intelligent Optimization write by Roberto Battiti. This book was released on 2008-12-16. Reactive Search and Intelligent Optimization available in PDF, EPUB and Kindle. Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics. Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities for the automated tuning of these parameters.

Intelligent Optimization

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Book Rating : 867/5 ( reviews)

Intelligent Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Optimization write by Changhe Li. This book was released on . Intelligent Optimization available in PDF, EPUB and Kindle.

Learning and Intelligent Optimization

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Release : 2015-06-18
Genre : Computers
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Book Rating : 849/5 ( reviews)

Learning and Intelligent Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning and Intelligent Optimization write by Clarisse Dhaenens. This book was released on 2015-06-18. Learning and Intelligent Optimization available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization, LION 9, which was held in Lille, France, in January 2015. The 31 contributions presented were carefully reviewed and selected for inclusion in this book. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic optimization.