dyspareunia
发表于 2025-3-27 01:01:09
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
含糊其辞
发表于 2025-3-27 04:23:50
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
paroxysm
发表于 2025-3-27 06:31:49
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GRAIN
发表于 2025-3-27 12:12:38
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
A精确的
发表于 2025-3-27 13:42:03
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.
干旱
发表于 2025-3-27 18:21:14
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无思维能力
发表于 2025-3-27 22:17:35
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.
inquisitive
发表于 2025-3-28 05:36:55
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Hla461
发表于 2025-3-28 06:59:38
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多骨
发表于 2025-3-28 11:06:21
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 “local” and “global” search phases in runtime.