Results 71 to 80 of about 38,337 (244)

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, Jiping Xiong, Xingang Jiang, Yuqiu Zhang, Chaozheng He, Xiaobing Liu   +5 more
wiley   +1 more source

An EPTAS for machine scheduling with bag-constraints

, 2018
Machine scheduling is a fundamental optimization problem in computer science. The task of scheduling a set of jobs on a given number of machines and minimizing the makespan is well studied and among other results, we know that EPTAS's for machine ...
Grage, Kilian, Jansen, Klaus, Klein, Kim Manuel   +2 more
core   +1 more source

EVA-MILP: Towards Standardized Evaluation of MILP Instance Generation

Mixed-Integer Linear Programming (MILP) is fundamental to solving complex decision-making problems. The proliferation of MILP instance generation methods, driven by machine learning's demand for diverse optimization datasets and the limitations of static benchmarks, has significantly outpaced standardized evaluation techniques.
Luo, Yidong, Wang, Chenguang, Yang, Jiahao, Xia, Fanzeng, Yu, Tianshu   +4 more
openaire   +2 more sources

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

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, Ryan Alimo, Farhad Kamangar, Ramtin Madani   +3 more
doaj   +1 more source

Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making

, 2017
In cooperative multiagent planning, it can often be beneficial for an agent to make commitments about aspects of its behavior to others, allowing them in turn to plan their own behaviors without taking the agent's detailed behavior into account ...
Durfee, Edmund, Singh, Satinder, Zhang, Qi   +2 more
core   +1 more source

تعیین عمق و زمان بهینه گذار از روش استخراج روباز به زیرزمینی در معدن مس سونگون [PDF]

نشریه مهندسی معدن
ذخایر 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, کوروش شهریار, سجاد افرائی   +2 more
doaj   +1 more source

Quasi-dynamic Load and Battery Sizing and Scheduling for Stand-Alone Solar System Using Mixed-integer Linear Programming

, 2016
Considering the intermittency of renewable energy systems, a sizing and scheduling model is proposed for a finite number of static electric loads. The model objective is to maximize solar energy utilization with and without storage.
de Callafon, Raymond A., Disfani, Vahid R., Habib, Abdulelah H., Kleissl, Jan   +3 more
core   +1 more source

Solving Mixed Integer Bilinear Problems Using MILP Formulations [PDF]

SIAM Journal on Optimization, 2013
In this paper, we examine a mixed integer linear programming reformulation for mixed integer bilinear problems where each bilinearterm involves the product of a nonnegative integer variable and a nonnegative continuous variable. This reformulation is obtained by first replacing a general integer variable with its binary expansion and then using ...
Gupte, Akshay, Ahmed, Shabbir, Cheon, Myun Seok, Dey, Santanu   +3 more
openaire   +2 more sources

Adaptive Hybrid Chance‐Constrained SOCP‐Based ACOPF for Coordinated Optimisation of Integrated Energy Systems

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, Zhengxiang Song, Jun Yang, Shaohua Zhang, Ya Mou, Zhongxia Zhang, Jiaqi Wu   +6 more
wiley   +1 more source