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Industrial Applications of Evolutionary Algorithms

Industrial Applications of Evolutionary Algorithms
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US$ 159.00
This book is intended as a reference both for experienced users of evolutionary algorithms and for researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, and advice on solving issues related to fitness computation, modeling and setting appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of all evolutionary algorithms exploited to solve different problems. The book could fill the gap between the purely theoretical examples, like bit strings, and the real world. For instance. Finally, the book would be extremely appealing for anyone interested in Evolutionary Computation, but without direct access to the extensive technical literature (e.g., IEEEXplore, Digital Library). After the introduction, each chapter in the book presents a test case, and is devised so that it can be read independently: all the information needed to understand the problem and the approach are reported.
Chapters are grouped by three themes of particular interest for real-world applications, prototype-based validation, reliability and test generation. The authors hope that this book will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them, and that, most of all, you will enjoy your reading.
Springer; January 2012
136 pages; ISBN 9783642274671
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