Results 71 to 80 of about 133,001 (290)
Optimal Airport Surface Traffic Planning Using Mixed-Integer Linear Programming
International Journal of Aerospace Engineering, 2008 We describe an ongoing research effort pertaining to the development of a surface traffic automation system that will help controllers to better coordinate surface traffic movements related to arrival and departure traffic. More specifically, we describe
P. C. Roling, H. G. Visser
doaj +1 more source
Multi-objective optimization for electric water heater using mixed integer linear programming
Journal of Modern Power Systems and Clean Energy, 2019 Due to the capacity of thermal storage, electric water heater (EWH) is one of the best candidates for demand response programs. However, few attentions are given to the modeling and optimization of EWHs with thermostatically-controlled automatic water ...
Mei Wu +3 more
doaj +1 more source
Application-oriented mixed integer non-linear programming [PDF]
4OR, 2010 In the most recent years there is a renovate interest for Mixed Integer Non-Linear Programming (MINLP) problems. This can be explained for different reasons: (i) the performance of solvers handling non-linear constraints was largely improved; (ii) the awareness that most of the applications from the real-world can be modeled as an MINLP problem; (iii ...
openaire +3 more sources
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
A Heuristic for a Mixed Integer Program using the Characteristic Equation Approach [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2017 While most linear programming (LP) problems can be solved in polynomial time, pure and mixed integer problems are NP-hard and there are no known polynomial time algorithms to solve these problems.
Philimon Nyamugure +3 more
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Determination of the Optimal Manpower Size Using Linear Programming Model [PDF]
, 2007 There would be no meaningful development lllltil manpower that involves in the transformation of production facilities into useful goods and services is well trained and planned.
Akinyele, S.T.
core
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
Protograph Based Low-Density Parity-Check Codes Design With Mixed Integer Linear Programming
IEEE Access, 2019 An approach to design protograph-based low-density parity-check (LDPC) codes utilizing mixed integer linear programming (MILP) optimization is presented in this paper.
Wojciech Sulek
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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
Polyhedral approximation in mixed-integer convex optimization
, 2017 Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances in general-purpose solvers in recent years.
Bent, Russell +3 more
core +1 more source