Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succint mathematical models. The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices. This book establishes distinct advantages of the "softer" ordinal approach for search-based type problems, analyzes its general properties, and shows the many orders of magnitude improvement in computational efficiency that is possible.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
From the reviews: "This book addresses the difficulties of optimization of complex systems via simulation models or computation-intensive models involving possible stochastic effects and discrete choice. The tools described here can be used separately or in addition to other methodological tools of optimization. ... The book is recommended for good engineers and designers dealing with complex problems of optimization." (Constantin Varsan, Zentralblatt MATH, Vol. 1123 (1), 2008)