A conceptual and systematics for intelligent power management system-based cloud computing: Prospects, and challenges

AHA AL-Jumaili, YIA Mashhadany, R Sulaiman… - Applied Sciences, 2021 - mdpi.com
This review describes a cloud-based intelligent power management system that uses
analytics as a control signal and processes balance achievement pointer, and describes …

A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments

R Vafashoar, MR Meybodi - Applied Soft Computing, 2020 - Elsevier
This paper presents a multi-population differential evolution algorithm to address dynamic
optimization problems. In the proposed approach, a cellular learning automaton adjusts the …

Enhancing the Bees Algorithm using the traplining metaphor

AH Ismail - 2021 - etheses.bham.ac.uk
This work aims to improve the performance of the Bees Algorithm (BA), particularly in terms
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …

A review on the enhancement and applications of the bees algorithm

W Nor, MS Bahari - AIP Conference Proceedings, 2024 - pubs.aip.org
The Bees Algorithm (BA) has become widely used as an effective Swarm Intelligence tool in
almost all areas of both optimization and engineering. For instance, various problems in …

Applications of cellular learning automata and reinforcement learning in global optimization

R Vafashoar, H Morshedlou, A Rezvanian… - … Automata: Theory and …, 2021 - Springer
Various scientific and engineering problems can be modeled as optimization tasks. Roughly
speaking, optimization problems can be categorized as static problems and dynamic …

[PDF][PDF] Heterogeni večagentni sistem za reševanje dinamičnih optimizacijskih problemov

A Čep, I Fister - labraj.feri.um.si
Heterogeni večagentni sistem za reševanje dinamičnih optimizacijskih problemov Page 1
Heterogeni večagentni sistem za reševanje dinamičnih optimizacijskih problemov Aleš Čep …

[引用][C] Dynamic Univariate Sampling Algorithm for Dynamic Optimization Problems

H Li, G Zhang, X Sun, J Deng, Y Li - Available at SSRN 4327157

[引用][C] A multi-population differential evolution algorithm based on cellular learning automata

R Vafashoar, MR Meybodi