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Titlebook: Mathematical Optimization Theory and Operations Research; 18th International C Michael Khachay,Yury Kochetov,Panos Pardalos Conference proc

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樓主: burgeon
31#
發(fā)表于 2025-3-27 01:01:09 | 只看該作者
Inland Waterway Efficiency Through Skipper Collaboration and Joint Speed Optimizationmption of a vessel depends on its velocity and the slower it moves, the less fuel it consumes. Given entry times of the vessels into the waterway and the deadlines before which they need to leave the waterway, we decide on optimal velocities of the vessels that minimize their private fuel consumptio
32#
發(fā)表于 2025-3-27 04:23:50 | 只看該作者
0302-9743 TOR 2019, held in Ekaterinburg, Russia, in July 2019..The 48 full papers presented in this volume were carefully reviewed and selected from 170 submissions. MOTOR 2019 is a successor of the well-known International and?All-Russian conference series, which were organized in Ural, Siberia, and the Far
33#
發(fā)表于 2025-3-27 06:31:49 | 只看該作者
34#
發(fā)表于 2025-3-27 12:12:38 | 只看該作者
0302-9743 rogramming; combinatorial optimization; optimal control and approximation; data mining and computational geometry; games and mathematical economics..978-3-030-22628-2978-3-030-22629-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
35#
發(fā)表于 2025-3-27 13:42:03 | 只看該作者
Splitting Method with Adaptive Step-Sizecurrent iterate gives a sufficient descent, we can even take an increasing step-size value at the next iterate. Preliminary results of computational experiments confirm the efficiency of the proposed modification in comparison with the ordinary splitting method using the inexact step-size linesearch procedure.
36#
發(fā)表于 2025-3-27 18:21:14 | 只看該作者
37#
發(fā)表于 2025-3-27 22:17:35 | 只看該作者
Non-Convex Quadratic Programming Problems in Short Wave Antenna Array Optimizations, both methods have demonstrated similar results, while on larger instances significant difference has been observed. The set of local optima is studied experimentally. It is established that even though the problem instances have numerous local optima, the objective function in many local optima has the same value.
38#
發(fā)表于 2025-3-28 05:36:55 | 只看該作者
39#
發(fā)表于 2025-3-28 06:59:38 | 只看該作者
40#
發(fā)表于 2025-3-28 11:06:21 | 只看該作者
Comparison of Several Stochastic and Deterministic Derivative-Free Global Optimization Algorithms hyperparameters control for the Globalizer allowing to reduce amount of initial tuning before optimization. The proposed scheme allows substantially increase convergence speed of the Globalizer by switching between “l(fā)ocal” and “global” search phases in runtime.
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