Overview
- Recent research in Industrial Applications of Evolutionary Algorithms
- Presents different case studies of evolutionary algorithms successfully applied to real world problems
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 34)
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Table of contents (10 chapters)
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Front Matter
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Introduction
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Part I Prototype-Based Validation Problems
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Front Matter
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Part II Design and Reliability Problems
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Front Matter
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Part III Test Generation Problems
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Front Matter
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Back Matter
Keywords
About this book
"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques.
Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions.
Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems.
The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject.
After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation.
The authors hope that this volume 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.
Authors and Affiliations
Bibliographic Information
Book Title: Industrial Applications of Evolutionary Algorithms
Authors: Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-27467-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-27466-4Published: 30 January 2012
Softcover ISBN: 978-3-642-44346-6Published: 22 February 2014
eBook ISBN: 978-3-642-27467-1Published: 28 January 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 130
Topics: Computational Intelligence, Artificial Intelligence, Mathematical and Computational Engineering