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.679a685 (2000) Saab, Y.G., Rao, V.B.: Fast Effective Heuristics for the Graph Bisectioning Problem. IEEE Transaction on CAD 9(1), 91a98 (1990) Wei, Y.C., Cheng, C.K.: A two-level two-way partitioning algorithm, Tech. report CH2924-9, University of California, San Diego. IEEE (1990) Yeh, C.-W. ... IEEE Proc-E 140(5 ), 167a178 (1993) Batischev, D.A.: Genetic algorithms of solving optimization problems.
|Title||:||Genetic Algorithms for Applied CAD Problems|
|Author||:||Viktor M. Kureichik, Sergey P. Malioukov, Vladimir V. Kureichik, Alexander S. Malioukov|
|Publisher||:||Springer - 2009-07-09|