Genetic Algorithms for Applied CAD Problems
Author:   Viktor M. Kureichik ,  Sergey P. Malioukov ,  Vladimir V. Kureichik ,  Alexander S. Malioukov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2009 ed.
Volume:   212
ISBN:  

9783540852803


Pages:   236
Publication Date:   21 July 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Genetic Algorithms for Applied CAD Problems


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Overview

New perspective technologies of genetic search and evolution simulation represent the kernel of this book. The authors wanted to show how these technologies are used for practical problems solution. This monograph is devoted to specialists of CAD, intellectual information technologies in science, biology, economics, sociology and others. It may be used by post-graduate students and students of specialties connected to the systems theory and system analysis methods, information science, optimization methods, operations investigation and solution-making.

Full Product Details

Author:   Viktor M. Kureichik ,  Sergey P. Malioukov ,  Vladimir V. Kureichik ,  Alexander S. Malioukov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2009 ed.
Volume:   212
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   1.190kg
ISBN:  

9783540852803


ISBN 10:   3540852808
Pages:   236
Publication Date:   21 July 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

General Questions of Automated Design and Engineering.- Evolutionary Models of Decision Making.- Algorithms and Models of ECE Module Connections Routing.- Development of Genetic Algorithms for Finding Optimal Magnetic Head Parameters and Characteristics.- Experimental Investigation of Algorithms Developed.

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