Viktor M. Kureichik, Sergey P. Malioukov, Vladimir V. Kureichik, Alexander S. Malioukov

Genetic Algorithms for Applied CAD Problems (eBook, PDF)

• Format: PDF

Produktbeschreibung

The development of intellectual systems connecting the human brain and computer technologies represents one of the most important problems of the 21^st century. Therefore analytical methods of data mining of computer databases are being developed. Intellectual behavior of technical objects as well as the biological ones is defined by their structure, architecture and general organization first of all. Purposeful direction can be defined as intellectual behavior. It consists in finding the best ways to obtain some purpose by means of trial-and-error and study methods. These purposes are different for each category but all of them suppose the control object adaptation to unpredictable changes of their characteristics in time. The intellectual behavior of technical objects can be defined as simulation of some important functions of biological systems.

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.

Chairman of the Applied Mathematics and Information Science Department of Power Engineering Institute, (Technical University), Moscow, Russia. Doctor of Science, Professor A. P. Eremeev

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 236
• Erscheinungstermin: 9. Juli 2009
• Englisch
• ISBN-13: 9783540852810
• Artikelnr.: 44121801

Inhaltsangabe

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.