A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms

RS Parpinelli, GF Plichoski… - … Journal of Bio …, 2019 - inderscienceonline.com
The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …

Adaptive wireless networks using learning automata

P Nicopolitidis, GI Papadimitriou… - IEEE Wireless …, 2011 - ieeexplore.ieee.org
Wireless networks operate in environments with unknown and time-varying characteristics.
The changing nature of many of these characteristics will significantly affect network …

Probabilistic constrained load flow considering integration of wind power generation and electric vehicles

JG Vlachogiannis - IEEE Transactions on Power Systems, 2009 - ieeexplore.ieee.org
A new formulation and solution of probabilistic constrained load flow (PCLF) problem
suitable for modern power systems with wind power generation and electric vehicles (EV) …

Application of deep learning to sentiment analysis for recommender system on cloud

G Preethi, PV Krishna, MS Obaidat… - 2017 International …, 2017 - ieeexplore.ieee.org
Sentiment analysis of short texts like single sentences and reviews available on different
social networking sites is challenging because of the limited contextual information. Based …

LACAS: Learning automata-based congestion avoidance scheme for healthcare wireless sensor networks

S Misra, V Tiwari, MS Obaidat - IEEE Journal on Selected Areas …, 2009 - ieeexplore.ieee.org
One of the major challenges in wireless sensor network (WSN) research is to curb down
congestion in the network's traffic, without compromising with the energy of the sensor …

Border surveillance with WSN systems in a distributed manner

H Mostafaei, MU Chowdhury… - IEEE Systems Journal, 2018 - ieeexplore.ieee.org
Border surveillance is an application of wireless sensor networks (WSNs) and it is mainly
used for security purpose. The present issue of implementing this application is a barrier …

LA-MHR: Learning automata based multilevel heterogeneous routing for opportunistic shared spectrum access to enhance lifetime of WSN

S Tanwar, S Tyagi, N Kumar… - IEEE Systems Journal, 2018 - ieeexplore.ieee.org
In wireless sensor networks (WSNs), optimal energy utilization is one of the most crucial
issues which needs special attention. It has been observed from the existing literature that …

Bayesian coalition game for contention-aware reliable data forwarding in vehicular mobile cloud

N Kumar, R Iqbal, S Misra, JJPC Rodrigues - Future Generation Computer …, 2015 - Elsevier
The exponential growth in the demands of users to access various resources during mobility
has led to the popularity of Vehicular Mobile Cloud. Vehicular users may access various …

Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton

OC Granmo - International Journal of Intelligent Computing and …, 2010 - emerald.com
Purpose–The two‐armed Bernoulli bandit (TABB) problem is a classical optimization
problem where an agent sequentially pulls one of two arms attached to a gambling machine …

Reinforcement-learning-enabled partial confident information coverage for IoT-based bridge structural health monitoring

L Yi, X Deng, LT Yang, H Wu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT)-based bridge structural health monitoring (BSHM) has recently
attracted considerable attention from both academic and industrial communities of civil …