Results 41 to 50 of about 3,535 (131)
Progress in mathematical programming solvers from 2001 to 2020
EURO Journal on Computational Optimization, 2022 This study investigates the progress made in lp and milp solver performance during the last two decades by comparing the solver software from the beginning of the millennium with the codes available today.
Thorsten Koch +3 more
doaj +1 more source
GASCAP: Accelerating Adsorption Evaluation Using Graph Voronoi Diagram and Machine Learning Method
Materials Genome Engineering Advances, EarlyView.GASCAP achieve comprehensive evaluations of adsorption on solid surfaces in high‐throughput way. ABSTRACT Adsorption on a solid surface is a significant chemical process in the fields of gas sensors, solid catalysts, hydrogen storage materials, and ion batteries.
Wencai Yi +5 more
wiley +1 more source
Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles
Software: Practice and Experience, EarlyView.ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom +2 more
wiley +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
IET Networks, EarlyView.The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
تعیین عمق و زمان بهینه گذار از روش استخراج روباز به زیرزمینی در معدن مس سونگون [PDF]
نشریه مهندسی معدنذخایر معدنی نزدیک به سطح با گسترش عمقی و شیب زیاد، قابلیت استخراج با روش روباز، زیرزمینی و یا ترکیبی از این دو روش را دارد. گذار از معدن روباز به زیرزمینی یکی از مسایل چالش برانگیز مهندسی معدن است. معادنی که قابلیت گذار را دارند، در نهایت به یک نقطه گذار
ناصر بدخشان +2 more
doaj +1 more source
Deep Space Network Scheduling via Mixed-Integer Linear Programming
IEEE Access, 2021 NASA’s Deep Space Network (DSN) is a globally-spanning communications network responsible for supporting the interplanetary spacecraft missions of NASA and other international users. The DSN is a highly utilized asset, and the large demand for its&
Alex Sabol +3 more
doaj +1 more source
IET Smart Energy Systems, EarlyView.An adaptive chance‐constrained hybrid SOCP‐Based ACOPF for coordinated optimisation of integrated source–grid–load–storage systems is presented. The coordinated optimisation of integrated source–grid–load–storage (SGLS) systems is challenged by renewable energy uncertainty, complex industrial load characteristics and stringent policy constraints ...
Mingyue He +6 more
wiley +1 more source
IET Smart Energy Systems, EarlyView.Integrated energy systems (IES) facilitate multi‐energy complementarity and efficient energy utilization. This study focuses on an IES with electricity, heating, cooling, and hydrogen loads, the proposed method can achieve a balance between system energy consumption, carbon emissions, and operational economy.
Hua Xie +5 more
wiley +1 more source
An Efficient Mixed Integer Linear Programming Model for the Minimum Spanning Tree Problem
Mathematics, 2018 Finding a minimum spanning tree in a given network is a famous combinatorial optimization problem that appears in different engineering applications.
Tamer F. Abdelmaguid
doaj +1 more source
Energies, 2020 This paper presents the optimal scheduling of a diesel generator and an energy storage system (ESS) while using a detailed battery ESS energy efficiency model. Optimal scheduling has been hampered to date by the nonlinearity and complexity of the battery
Rae-Kyun Kim +3 more
doaj +1 more source