A review on genetic algorithm: past, present, and future
S Katoch, SS Chauhan, V Kumar - Multimedia tools and applications, 2021 - Springer
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …
algorithms of great interest in research community are selected for analysis. This review will …
Game theory for multi-access edge computing: Survey, use cases, and future trends
J Moura, D Hutchison - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Game theory (GT) has been used with significant success to formulate, and either design or
optimize, the operation of many representative communications and networking scenarios …
optimize, the operation of many representative communications and networking scenarios …
Multi-stage optimized machine learning framework for network intrusion detection
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …
and organizations on the Internet and their concern about the security and privacy of their …
Quantum based whale optimization algorithm for wrapper feature selection
In this paper, we propose the Quantum Whale Optimization Algorithm (QWOA) for feature
selection, which is an amalgamation of the Quantum Concepts and the Whale Optimization …
selection, which is an amalgamation of the Quantum Concepts and the Whale Optimization …
An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities
MB Dowlatshahi, MK Rafsanjani, BB Gupta - Applied Soft Computing, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are the main component in the Internet of Things
(IoT) and smart cities to sense our environment, gather essential and meaningful data, and …
(IoT) and smart cities to sense our environment, gather essential and meaningful data, and …
Maximizing wireless sensor network coverage with minimum cost using harmony search algorithm
O Moh'd Alia, A Al-Ajouri - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
Coverage, one of the most important performance metrics for wireless sensor networks,
reflects on how well a sensor field is monitored. Coverage problem is a devoted study of a …
reflects on how well a sensor field is monitored. Coverage problem is a devoted study of a …
AGEN-AODV: an intelligent energy-aware routing protocol for heterogeneous mobile ad-hoc networks
M Nabati, M Maadani, MA Pourmina - Mobile Networks and Applications, 2022 - Springer
Abstract Mobile Ad-hoc Networks (MANETs) consist of mobile nodes that usually have
limited energy resources. MANET routing protocols should consider the dynamics and …
limited energy resources. MANET routing protocols should consider the dynamics and …
Power optimization in multi-tier heterogeneous networks using genetic algorithm
The Internet of Things (IoT) connects numerous sensor nodes and devices, resulting in an
increase in the bandwidth and data rates. However, this has led to a surge in data-hungry …
increase in the bandwidth and data rates. However, this has led to a surge in data-hungry …
A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles
Abstract The Internet of Vehicles (IoV) is a communication paradigm that connects the
vehicles to the Internet for transferring information between the networks. One of the key …
vehicles to the Internet for transferring information between the networks. One of the key …
Piecewise preprocessing of near-infrared spectra for improving prediction ability of a PLS model
W Yang, Y Xiong, Z Xu, L Li, Y Du - Infrared Physics & Technology, 2022 - Elsevier
In this study, a new strategy for preprocessing of near-infrared spectra, piecewise
preprocessing (PP) is proposed. Unlike routine in optimization of preprocessing methods, in …
preprocessing (PP) is proposed. Unlike routine in optimization of preprocessing methods, in …