Results 81 to 90 of about 399,469 (371)
A Mixed Integer Linear Programming Model for Multi-Satellite Scheduling [PDF]
European Journal of Operational Research, 2018 We address the multi-satellite scheduling problem with limited observation capacities that arises from the need to observe a set of targets on the Earth’s surface using imaging resources installed on a set of satellites.
Xiaoyu Chen +3 more
semanticscholar +1 more source
Approximate Multiparametric Mixed-Integer Convex Programming
IEEE Control Systems Letters, 2020 6 pages, 6 figures, accepted to IEEE Control Systems Letters (L-CSS); v4: final ...
Danylo Malyuta, Behcet Acikmese
openaire +2 more sources
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Adaptive large neighborhood search for mixed integer programming
Mathematical Programming Computation, 2018 Large Neighborhood Search (LNS) heuristics are among the most powerful but also most expensive heuristics for mixed integer programs (MIP). Ideally, a solver adaptively concentrates its limited computational budget by learning which LNS heuristics work ...
Gregor Hendel
semanticscholar +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
Advanced Science, EarlyView.A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
Advanced Science, EarlyView.Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Optimal exact designs of experiments via Mixed Integer Nonlinear Programming [PDF]
, 2019 Optimal exact designs are problematic to find and study because there is no unified theory for determining them and studyingtheir properties.
Duarte, Belmiro P.M. +2 more
core
Mixed integer polynomial programming
Computers & Chemical Engineering, 2015 AbstractThe mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which
openaire +2 more sources
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
Advanced Science, EarlyView.We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Performance Variability in Mixed-Integer Programming [PDF]
, 2013 The performance of mixed-integer programming solvers is subject to some unexpected variability that appears, for example, when changing from one computing platform to another, when permuting rows and/or columns of a model, when adding seemingly neutral changes to the solution process, etc.
LODI, ANDREA, Andrea Tramontani
openaire +2 more sources