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Titlebook: Global Optimization; Scientific and Engin János D. Pintér Book 2006 Springer-Verlag US 2006 Analysis.algorithm.algorithms.artificial neural

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41#
發(fā)表于 2025-3-28 15:58:31 | 只看該作者
A Global Optimization Strategy and Its Use in Solvent Design,olecular structural entities and to what extent they occur in the pure component compound or mixture. On the other hand, continuous variables denote process variables such as temperature and flow rates. In the MINLP model the number of discrete variables can range from several tens to several hundre
42#
發(fā)表于 2025-3-28 19:24:05 | 只看該作者
Optimized Design of Dynamic Networks with Heuristic Algorithms,y node exhibits mobility and is able to establish only a limited number of point-to-point links with other nodes in its neighbourhood. The design process aims to select a feasible subset of the potential links in such a way that both network reliability and network performance are maximised. We desc
43#
發(fā)表于 2025-3-29 00:39:32 | 只看該作者
A New Smoothing-Based Global Optimization Algorithm for Protein Conformation Problems, some efficacy. In this paper we propose a new approach to smoothing. First, we propose a simple algebraic way to smooth the Lennard-Jones and the electrostatic energy functions. These two terms are the main contributors to the energy function in many molecular models. The smoothing scheme is much c
44#
發(fā)表于 2025-3-29 04:48:39 | 只看該作者
45#
發(fā)表于 2025-3-29 10:41:13 | 只看該作者
46#
發(fā)表于 2025-3-29 12:20:23 | 只看該作者
47#
發(fā)表于 2025-3-29 18:21:42 | 只看該作者
Determination of a Laser Cavity Field Solution Using Global Optimization,tion current. Starting with coupled wave theory and using the transfer matrix method, the laser operations problem is formulated in terms of an objective function whose value corresponds to the relative “flatness” of the laser’s internal (cavity) field solution. Global optimization techniques implem
48#
發(fā)表于 2025-3-29 22:07:08 | 只看該作者
49#
發(fā)表于 2025-3-30 03:50:01 | 只看該作者
50#
發(fā)表于 2025-3-30 04:26:58 | 只看該作者
Solving the Phase Unwrapping Problem by a Parametrized Network Optimization Approach,lues modulus 2.. The phase unwrapping problem is the key problem in interferometry, for simplicity we restrict our attention to the SAR (Synthetic Aperture Radar) interferometry problem. The phase unwrapping problem is not well defined in fact it has infinitely many solutions, so that it must be “re
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