Memetic algorithms for business analytics and data science: a brief survey

P Moscato, L Mathieson - Business and consumer analytics: new ideas, 2019 - Springer
This chapter reviews applications of Memetic Algorithms in the areas of business analytics
and data science. This approach originates from the need to address optimization problems …

Introduction to learning automata models

A Rezvanian, B Moradabadi, M Ghavipour… - … Automata Approach for …, 2019 - Springer
Learning automaton (LA) as one of artificial intelligence techniques is a stochastic model
operating in the framework of the reinforcement learning. LA has been found to be a useful …

SIG-CLA: a significant community detection based on cellular learning automata

MMD Khomami, A Rezvanian… - 2020 8th Iranian …, 2020 - ieeexplore.ieee.org
Detecting community, as the fundamental task for the study of the network, reveals a hopeful
approach to investigating the functional and topological properties of real networks …

Community Detection Applications in Mobile Networks: Towards Data-Driven Design for Next Generation Cellular Networks

A Gaber, N Abdelbaki, T Arafa - Journal of Communications …, 2023 - ieeexplore.ieee.org
The existing radio access network (RAN) is facing many challenges to meet the very strict
speed and latency requirements by different mobile applications in addition to the increasing …

An Introduction to Learning Automata and Optimization

J Kazemi Kordestani, M Razapoor Mirsaleh… - Advances in Learning …, 2021 - Springer
Learning automaton (LA) is one of the reinforcement learning techniques in artificial
intelligence. Learning automata's learning ability in unknown environments is a useful …

Semi-Supervised Machine Learning Applications in RAN Design: Towards Data-Driven Next Generation Cellular Networks

A Gaber, T Arafa, N Abdelbaki - 2022 International Conference …, 2022 - ieeexplore.ieee.org
The explosive growth of mobile internet services and demand for data connectivity boosts
the innovation and development in Radio Access Network (RAN) to define how next …

Cellular automata, learning automata, and cellular learning automata for optimization

J Kazemi Kordestani, M Razapoor Mirsaleh… - Advances in Learning …, 2021 - Springer
Since many real problems have several limitations and constraints for different
environments, no standard optimization algorithms could work successfully for all kinds of …

A metaheuristic and simheuristic approach for the p-hub median problem from a telecommunication perspective

SM Alvarez Fernandez - 2019 - icts.unb.br
Avanços recentes no setor das telecomunicações oferecem grandes oportunidades para
cidadãos e organizações em um mundo globalmente conectado, ao mesmo tempo em que …

Varieties of Cellular Learning Automata: An Overview

R Vafashoar, H Morshedlou, A Rezvanian… - … Automata: Theory and …, 2021 - Springer
Cellular learning automaton (CLA), as one of the artificial intelligence techniques in
reinforcement learning, is a combination of cellular automata (CA) and learning automata …

A metaheuristic and simheuristic approach for the p-hub median problem from a telecommunication perspective

SMA Fernandez - 2018 - dialnet.unirioja.es
Los recientes avances en la industria de las telecomunicaciones ofrecen grandes
oportunidades para ciudadanos y organizaciones en un mundo globalmente conectado …