Genetic Algorithms for Applied CAD Problems - Viktor M. Kureichik, Sergey P. Malioukov, Vladimir V. Kureichik, Alexander S. Malioukov

Genetic Algorithms for Applied CAD Problems

Buch | Softcover
XVII, 236 Seiten
2011 | 2009
Springer Berlin (Verlag)
978-3-642-24257-1 (ISBN)
106,99 inkl. MwSt
With new perspective technologies of genetic search and evolution simulation at the heart of this book, the authors wanted to show how these technologies are used for the solution of practical problems. This monograph is devoted to specialists of CAD.

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.

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.

Erscheint lt. Verlag 29.11.2011
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XVII, 236 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 392 g
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Informatik Weitere Themen CAD-Programme
Mathematik / Informatik Mathematik
Technik
Schlagworte algorithms • Automated Design • CAD Problems • Computational Intelligence • Computer-Aided Design (CAD) • data structures • Design • Evolution • Genetic Algorithm • Genetic algorithms • Kernel • Optimization • Racter • Simulation
ISBN-10 3-642-24257-X / 364224257X
ISBN-13 978-3-642-24257-1 / 9783642242571
Zustand Neuware
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