Results 81 to 90 of about 8,018,297 (258)
, 2022 Performance of EA4OP as standalone algorithm and when used in the clustering metaheuristic (Flat instances).
Almiqdad Elzein (13141038) +1 more
core +1 more source
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
, 2022 Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (Flat instances).
Almiqdad Elzein (13141038) +1 more
core +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
Elk herd optimizer: a novel nature-inspired metaheuristic algorithm
Artificial Intelligence ReviewThis paper proposes a novel nature-inspired swarm-based optimization algorithm called elk herd optimizer (EHO). It is inspired by the breeding process of the elk herd. Elks have two main breeding seasons: rutting and calving.
M. Al-Betar +4 more
semanticscholar +1 more source
FPGA implementation of metaheuristic optimization algorithm [PDF]
, 2023 Metaheuristic algorithms are gaining popularity amongst researchers due to their ability to solve nonlinear optimization problems as well as the ability to be adapted to solve a variety of problems.
Phuah, Soon Eu +2 more
core +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 Comparative Evaluation of Nature Inspired Algorithms for Telecommunication Network Design
Applied Sciences, 2020 The subject of the study was an application of nature-inspired metaheuristic algorithms to node configuration optimization in optical networks. The main objective of the optimization was to minimize capital expenditure, which includes the costs of ...
Stanisław Kozdrowski +4 more
doaj +1 more source
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
Journal of Applied Mathematics, 2013 Annual Crop Planning (ACP) is an NP-hard-type optimization problem in agricultural planning. It involves finding optimal solutions concerning the seasonal allocations of a limited amount of agricultural land amongst the various competing crops that are ...
Sivashan Chetty +1 more
doaj +1 more source