Results 61 to 70 of about 3,788,182 (279)
Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution [PDF]
Bioautomation, 2008 In this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling.
Hou-Chieh Cheng, Feng-Sheng Wang
doaj
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
Learning to optimize: A tutorial for continuous and mixed-integer optimization
Science China MathematicsLearning to Optimize (L2O) stands at the intersection of traditional optimization and machine learning, utilizing the capabilities of machine learning to enhance conventional optimization techniques. As real-world optimization problems frequently share common structures, L2O provides a tool to exploit these structures for better or faster solutions ...
Xiaohan Chen 0001 +2 more
openaire +2 more sources
NbOx Mott Memristor‐Based Oscillatory P‐trit for Ternary Potts Machine
Advanced Science, EarlyView.A ternary Potts machine utilizing NbOx‐based probabilistic trits (p‐trits) is demonstrated for efficient combinatorial optimization. By leveraging the electro‐thermal switching dynamics of NbOx memristors, this architecture generates three‐state stochastic fluctuations.
Hakseung Rhee +10 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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Practical Mixed-Integer Optimization for Geometry Processing [PDF]
, 2012 Solving mixed-integer problems, i.e., optimization problems where some of the unknowns are continuous while others are discrete, is NP-hard. Unfortunately, real-world problems like e.g., quadrangular remeshing usually have a large number of unknowns such that exact methods become unfeasible.
David Bommes +2 more
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FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver [PDF]
, 2000 We describe FATCOP 2.0, a new parallel mixed integer program solver that works in an opportunistic computing environment provided by the Condor resource management system.
Linderoth, Jeff +2 more
core
Advanced Science, EarlyView.Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source
Advanced Science, EarlyView.Efficient conversion and detection of short‐wave infrared (SWIR) photons are becoming increasingly important for emerging photonic and energy technologies. Here, we report an organic photothermoelectric device based on an open‐shell conjugated polymer that enables SWIR energy conversion and photon detection via the photothermoelectric effect.
Guan‐Lin Chen +5 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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