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Titlebook: Global Optimization and Constraint Satisfaction; Second International Christophe Jermann,Arnold Neumaier,Djamila Sam Conference proceedings

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21#
發(fā)表于 2025-3-25 07:05:35 | 只看該作者
22#
發(fā)表于 2025-3-25 09:49:42 | 只看該作者
A Method for Global Optimization of Large Systems of Quadratic Constraintsolving of hard hybrid problems, such as the scheduling of refineries. In this paper we present the Gradient Optimal Constraint Equation Subdivision (GOCES) algorithm, which incorporates a standard NLP solver and the global feasibility solver to find and establish global optimums for systems of quadratic equations, and present benchmarks.
23#
發(fā)表于 2025-3-25 13:15:18 | 只看該作者
24#
發(fā)表于 2025-3-25 16:45:48 | 只看該作者
https://doi.org/10.1007/978-3-642-48873-3This paper considers the use of cooperative solvers for solving global optimization problems. We present the cooperative solver Sibcalc and show how it can be used in solution of different optimization problems. Several examples of applying the Sibcalc solver for solving optimization problems are given.
25#
發(fā)表于 2025-3-25 20:22:03 | 只看該作者
Introduction to Building ServicesDuring the last few years, control schemes using interval analysis have been investigated. Several approaches have been proposed in order to get robust control in presence of model uncertainties [7, 10] or for state estimation [6].
26#
發(fā)表于 2025-3-26 01:06:30 | 只看該作者
27#
發(fā)表于 2025-3-26 04:32:51 | 只看該作者
Using a Cooperative Solving Approach to Global Optimization ProblemsThis paper considers the use of cooperative solvers for solving global optimization problems. We present the cooperative solver Sibcalc and show how it can be used in solution of different optimization problems. Several examples of applying the Sibcalc solver for solving optimization problems are given.
28#
發(fā)表于 2025-3-26 08:47:35 | 只看該作者
Nonlinear Predictive Control Using Constraints SatisfactionDuring the last few years, control schemes using interval analysis have been investigated. Several approaches have been proposed in order to get robust control in presence of model uncertainties [7, 10] or for state estimation [6].
29#
發(fā)表于 2025-3-26 13:50:06 | 只看該作者
30#
發(fā)表于 2025-3-26 19:25:28 | 只看該作者
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