Springer; 2nd ed. edition (June 5, 2008). - 354 p. ISBN10: 3540794573 Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems.
Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
Springer, 2007. — 675 p. The rapid advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to an astonishing growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has, in turn, motivated widespread applications of optimization methods in...
Cambridge University Press, 2006. – 786 p. – 180 b/w illus., 369 exercises – ISBN: 0521855640, 9780521855648. The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems so that...
Wiley, 2010. - 488 pages. An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not only how algorithms work, but also why they work. Applied Integer Programming features a unique emphasis on...
Publisher: CRC Press | 2007 | ISBN10: 1420043102 | 504 pages Product Description: Although a useful and important tool, the potential of mathematical modelling for decision making is often neglected. Considered an art by many and weird science by some, modelling is not as widely appreciated in problem solving and decision making as perhaps it should be. And although many...
University of Science and Technology of China, 2011,-1217 pp. Third edition, extended and revised. ZIP with examples is attached on the first page This e-book is devoted to Global Optimization algorithms, which are methods for finding solutions of high quality for an incredible wide range of problems. We introduce the basic concepts of optimization and discuss features which...
Elsevier, 2014. — 265 p. Nature-inspired optimization algorithms have become increasingly popular in recent years, and most of these metaheuristic algorithms, such as particle swarm optimization and firefly algorithms, are often based on swarm intelligence. Swarmintelligence- based algorithms such as cuckoo search and firefly algorithms have been found to be very efficient. The...
