Genetic Algorithms for Applied CAD Problems

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

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.

Product Details

ISBN-13:	9783540852803
Publisher:	Springer Berlin Heidelberg
Publication date:	07/21/2009
Series:	Studies in Computational Intelligence , #212
Edition description:	2009
Pages:	236
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

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.