Results 91 to 100 of about 131,196 (289)
A Mixed-Integer Linear Programming Formulation for Distribution Network Reconfiguration
The Distribution Network Reconfiguration (DNR) problem is a well-known problem in the field of power system optimization. It consists of altering the state of the switches in Distribution Networks (DNs), resulting in a topology that is optimal with ...
Aghyles Graine, Jean-Paul Gaubert
doaj +1 more source
First-Order Mixed Integer Linear Programming
Mixed integer linear programming (MILP) is a powerful representation often used to formulate decision-making problems under uncertainty. However, it lacks a natural mechanism to reason about objects, classes of objects, and relations. First-order logic (FOL), on the other hand, excels at reasoning about classes of objects, but lacks a rich ...
Gordon, Geoffrey +2 more
openaire +2 more sources
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
A Mixed-Integer Linear Programming Scheduling Optimization Model for Refinery Production
This paper addresses the problem of production planning and scheduling in an oil refinery process. In the process crude oil is transformed to bitumen and naphthenic special oils. The aim of the scheduling optimization is to decide which mode of operation
Z.K. Zheng, H.J. Zhang
doaj +1 more source
Alternative mathematical programming formulations for FSS synthesis [PDF]
A variety of mathematical programming models and two solution strategies are suggested for the problem of allocating orbital positions to (synthesizing) satellites in the Fixed Satellite Service.
Gonsalvez, D. J. A. +3 more
core +1 more source
Some lower bounds on sparse outer approximations of polytopes [PDF]
Motivated by the need to better understand the properties of sparse cutting-planes used in mixed integer programming solvers, the paper [2] studied the idealized problem of how well a polytope is approximated by the use of sparse valid inequalities.
Dey, Santanu S. +2 more
core
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
ALPS: A Linear Program Solver [PDF]
ALPS is a computer program which can be used to solve general linear program (optimization) problems. ALPS was designed for those who have minimal linear programming (LP) knowledge and features a menu-driven scheme to guide the user through the process ...
Ferencz, Donald C., Viterna, Larry A.
core +1 more source
Mechanism of Solid Solution‐Driven Texture Induced by Ag Doping in YBCO Superconductor
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
Fast and accurate self-healing after faults is an important way to improve the reliability of distribution networks. To improve the self-healing speed and accuracy of distribution networks, this paper proposes a fast and accurate self-healing scheme for ...
Jiangang Lu +5 more
doaj +1 more source

