Results 51 to 60 of about 2,786 (188)

Unrelated parallel machine scheduling under machine availability and eligibility constraints to minimize the makespan of non-resumable jobs [PDF]

International Journal of Industrial Engineering and Management
This study considers the scheduling problem of multiple independent and non-resumable jobs on unrelated parallel machines subject to machine availability and eligibility constraints.
Atıl Kurt, Ferda Can Çetinkaya
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem

Complexity, 2023
The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the literature and solved using an iterative solver called PCTs solver.
Skander Htiouech, Khalil Chebil, Mahdi Khemakhem, Fidaa Abed, Monaji H. Alkiani   +4 more
doaj   +1 more source

Advancing the Thermal Network Representation for the Optimal Design of Distributed Multi-Energy Systems

Frontiers in Energy Research, 2021
This paper investigates modeling methods with thermal network representation under the scope of the optimal design and operation of Distributed Multi-Energy System (D-MES).
Danhong Wang, Danhong Wang, Xiang Li, Julien Marquant, Julien Marquant, Jan Carmeliet, Kristina Orehounig   +6 more
doaj   +1 more source

A Mixed-Integer Linear Programming (MILP) for Garment Line Balancing

This applied research article explores the application of Mixed-Integer Linear Programming (MILP) to address line-balancing challenges in the garment industry, focusing on optimizing production processes under multiple constraints. By integrating MILP with Lean Methodology principles, the study demonstrates significant improvements in operational ...
Kong, Ray Wai Man, Ning, Ding, Kong, Theodore Ho Tin   +2 more
openaire   +2 more sources

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 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, Emil Karlsson, Simin Nadjm‐Tehrani   +2 more
wiley   +1 more source

A comprehensive review of coordinated operation of transmission‐distribution networks: Frameworks, problems and future trends

Energy Conversion and Economics, EarlyView.
Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic efficiency and flexibility. Transmission‐distribution (T‐D) coordination has emerged as an essential paradigm for facilitating multi ...
Yining Yang, Zechun Hu, Ninghui Yang, Alexis P. Zhao, Chenghong Gu   +4 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

Block scheduling in practice: An optimal decomposition strategy for nonidentical operating rooms

Decision Sciences, EarlyView.
Abstract We develop and implement a Master Surgery Schedule for a real‐life hospital, assigning operating room (OR) time to surgical specialties over a multi‐week horizon. Through action research, we identify a critical operational challenge: the issue of split blocks. Split blocks allow two specialties to share an OR on the same day—one in the morning,
Vincent J. J. van Ham, Alex Kuiper, Robert H. Lee   +2 more
wiley   +1 more source