Results 61 to 70 of about 1,727,456 (275)
Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source
IEEE Access, 2021 The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids.
Kayode E. Adetunji +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino +3 more
wiley +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
A study on gender detection using multiple classifiers on voice data
Alexandria Engineering JournalResearchers have frequently used metaheuristic algorithms for various problems due to their success. In data mining studies, feature selection (FS) is an essential preprocessing step for large-scale problems.
Gülnur Yildizdan, Emine Baş
doaj +1 more source
Metaheuristic algorithms for the quadratic assignment problem
2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS), 2013 This paper presents two meta-heuristic algorithms to solve the quadratic assignment problem. The iterated greedy algorithm has two main components, which are destruction and construction procedures. The algorithm starts from an initial solution and then iterates through a main loop, where first a partial candidate solution is obtained by removing a ...
Mehmet Fatih Tasgetiren +3 more
openaire +3 more sources
Deep Underground Science and Engineering, EarlyView.This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang +3 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.A comprehensive comparative study of five artificial neural network (ANN) architectures (convolutional neural network [CNN], recurrent neural network, feedforward neural network, multi‐layer perceptron, radial basis function network) was conducted for water saturation prediction in petroleum reservoirs.
Ali Akbari, Ali Ranjbar
wiley +1 more source
MathematicsThe primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under ...
Ju Chen +7 more
doaj +1 more source
Metaheuristic Algorithms in Optimal Design of Engineering Problems
Metaheuristic optimization algorithms (MOAs) are widely used to optimize the design process of engineering problems [...
Łukasz Knypiński +2 more
core +1 more source