Kureichik / Malioukov Genetic Algorithms for Applied CAD Problems

Erscheinungsjahr 2009
ISBN: 978-3-540-85281-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 212, 236 Seiten, eBook

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Kureichik, Viktor M.

Malioukov, Sergey P.

Kureichik, Vladimir V.

Malioukov, Alexander S.

Inhaltsverzeichnis

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.