Overview
- Reflects the state of the art in information processing with evolutionary algorithms from both the academic and industrial sides
- Contains some examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems, thereby appealing to people working in industry as well as the academic community
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (20 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Information Processing with Evolutionary Algorithms
Book Subtitle: From Industrial Applications to Academic Speculations
Editors: Xindong Wu, Lakhmi Jain, Manuel Graña, Richard J. Duro, Alicia d’Anjou, Paul P. Wang
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/b138854
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2005
Hardcover ISBN: 978-1-85233-866-4Published: 05 January 2005
Softcover ISBN: 978-1-84996-937-6Published: 22 October 2010
eBook ISBN: 978-1-84628-117-4Published: 30 March 2006
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XVIII, 334
Number of Illustrations: 137 b/w illustrations
Topics: Information Storage and Retrieval, Algorithm Analysis and Problem Complexity, Artificial Intelligence, Natural Language Processing (NLP), Image Processing and Computer Vision, Computer Graphics