Results 61 to 70 of about 163,261 (288)
An Optimal Generation Scheduling Approach Based on Linear Relaxation and Mixed Integer Programming
IEEE Access, 2020 This paper proposes an optimal generation scheduling approach based on linear relaxation and mixed integer programming, which is used to solve the generation dispatch problem.
Yunkai Lei +5 more
doaj +1 more source
Mechanism of Solid Solution‐Driven Texture Induced by Ag Doping in YBCO Superconductor
Advanced Science, EarlyView.Ag‐doped YBCO with a designed concentration gradient is produced by dual‐material co‐extrusion and freeze‐drying. During annealing, Ag+ ions diffuse into Y123, substituting for Cu(1) and inducing c‐axis relaxation. This leads to the formation of [001]‐oriented YBCAO, creating a coherent interface that templates the textured growth of Y123. Consequently,
Fenyan Zhao +4 more
wiley +1 more source
Transport, 2015 Finding an exact optimal solution of the Nonlinear Discrete Transportation Problem (NDTP) represents a challenging task in transportation science. Development of an adequate model formulation and selection of an appropriate optimization method are thus ...
Uroš Klanšek
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Solution of Mixed-Integer Optimization Problems in Bioinformatics with Differential Evolution Method
Mathematics, 2021 The solution of the so-called mixed-integer optimization problem is an important challenge for modern life sciences. A wide range of methods has been developed for its solution, including metaheuristics approaches. Here, a modification is proposed of the
Sergey Salihov +3 more
doaj +1 more source
Spatial Domain Simultaneous Information and Power Transfer for MIMO Channels
, 2015 In this paper, we theoretically investigate a new technique for simultaneous information and power transfer (SWIPT) in multiple-input multiple-output (MIMO) point-to-point with radio frequency energy harvesting capabilities.
Berberidis, Kostas +3 more
core +1 more source
Mixed-Integer Optimization with Constraint Learning
Operations ResearchIn today’s data-driven world, there is a growing opportunity for optimization models to more closely resemble real-world scenarios, namely through learning constraints or objective functions that are not explicitly known and must be estimated through data.
Donato Maragno +5 more
openaire +2 more sources
Advanced Science, EarlyView.Hyperfine coupling to 29Si$^{29}{\rm Si}$ and 73Ge$^{73}{\rm Ge}$ nuclear spins limits hole spin‐qubit coherence in Ge heterostructures. We demonstrate device‐grade, nuclear‐spin‐free 70Ge$^{70}{\rm Ge}$/28Si70Ge$^{28}{\rm Si}^{70}{\rm Ge}$ quantum wells grown on industrial SiGe buffers with minimal use of enriched precursors.
Patrick Daoust +11 more
wiley +1 more source
Optimal Antibody Purification Strategies Using Data-Driven Models
Engineering, 2019 This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
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Advanced Science, EarlyView.A lithium‐bearing slag is investigated with the goal of holistic valorization. The present β‐eucryptite (LiAlSiO4) exhibits a high lithium content and low levels of impurities. The spinel contains most of the chromium and vanadium, representing additional valorization opportunities.
Peter Cornelius Gantz +9 more
wiley +1 more source
Advanced Science, EarlyView.A meta‐YAG crystal with artificially order/disorder structures was fabricated to realize the efficient third‐harmonic generation at 343 nm with a conversion efficiency of 4.5×10−3, surpassing six orders of magnitude compared to bulk YAG crystal. Moreover, a wide spectral tunability from 331 to 356 nm was also achieved in the meta‐YAG, indicating its ...
Xiaotian Guo +6 more
wiley +1 more source