Modern Heuristic Techniques For Combinatorial Problems
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Modern Heuristic Techniques for Combinatorial Problems
Experienced researchers describe the latest types of heuristic procedures. Artificial networks, simulated annealing, Tabu search, Lagrangean relaxation, genetic algorithms and evaluation of heuristics are among the subjects discussed.
Modern Heuristic Techniques for Combinatorial Problems
Over the last two decades, many ingenious techniques for solving large combinatorial problems have been developed. In this book, some of the more recent families of heuristic procedures are described. The book will be suitable for postgraduates and final year undergraduates in mathematics, computer science and operational research, as well as giving practical help to OR and other practitioners in the industry.
Numerical Methods and Applications
Author: Todor Boyanov
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-02-20
This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Numerical Methods and Applications, NMA 2006, held in Borovets, Bulgaria, in August 2006. The 84 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on numerical methods for hyperbolic problems, robust preconditioning solution methods, Monte Carlo and quasi-Monte Carlo for diverse applications, metaheuristics for optimization problems, uncertain/control systems and reliable numerics, interpolation and quadrature processes, large-scale computations in environmental modelling, and contributed talks.