Migration-based moth-flame optimization algorithm
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
An improved moth-flame optimization algorithm for engineering problems
Y Li, X Zhu, J Liu - Symmetry, 2020 - mdpi.com
In this paper, an improved moth-flame optimization algorithm (IMFO) is presented to solve
engineering problems. Two novel effective strategies composed of Lévy flight and …
engineering problems. Two novel effective strategies composed of Lévy flight and …
A quantum-behaved simulated annealing algorithm-based moth-flame optimization method
This study develops an improved moth-flame optimization algorithm, which is a recently
proposed optimizer based on moth behavior in nature. It has achieved favorable results in …
proposed optimizer based on moth behavior in nature. It has achieved favorable results in …
Systematic literature review of AI/ML techniques applied to VANET routing
Abstract Vehicular Ad Hoc Networks (VANETs) have arisen as powerful network models for
road safety and infotainment applications. These networks are characterized by high node …
road safety and infotainment applications. These networks are characterized by high node …
An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization …
X Zhao, Y Fang, L Liu, J Li, M Xu - Applied Intelligence, 2020 - Springer
Abstract Moth-Flame Optimization (MFO) algorithm is a new population-based meta-
heuristic algorithm for solving global optimization problems. Flames generation and spiral …
heuristic algorithm for solving global optimization problems. Flames generation and spiral …
Ant lion optimizer based clustering algorithm for wireless body area networks in livestock industry
Wireless Body Area Networks (WBANs) are emerging in the livestock industry for remote
monitoring of cattle using wireless body sensors (WBS). The random mobility of animals …
monitoring of cattle using wireless body sensors (WBS). The random mobility of animals …
Hybrid routing scheme using imperialist competitive algorithm and RBF neural networks for VANETs
M Mohammadnezhad, A Ghaffari - Wireless Networks, 2019 - Springer
Vehicular ad hoc network (VANET), a special type of mobile ad-hoc networks (MANETs), is
characterized by a very high mobility. Due to the dynamic nature of vehicle nodes and …
characterized by a very high mobility. Due to the dynamic nature of vehicle nodes and …
A simple and robust clustering scheme for large-scale and dynamic VANETs
M Banikhalaf, MA Khder - IEEE Access, 2020 - ieeexplore.ieee.org
Clustering is a promising technique to manage network resources efficiently and, in
vehicular communications it is used to group vehicles with similar characteristics managed …
vehicular communications it is used to group vehicles with similar characteristics managed …
A self-adaptable angular based K-Medoid clustering scheme (SAACS) for dynamic VANETs
Prior study suggests that VANET has two types of communications: Vehicle to Vehicle (V2V)
and Vehicle to Infrastructure (V2I) communications. V2V is very important and ensures …
and Vehicle to Infrastructure (V2I) communications. V2V is very important and ensures …
[HTML][HTML] Energy efficient clustering with Heuristic optimization based Ro/uting protocol for VANETs
K Giridhar, C Anbuananth, N Krishnaraj - Measurement: Sensors, 2023 - Elsevier
Vehicle networks have been the subject of increasing amounts of study from both academia
and industry as a way of enhancing traffic safety and providing real-time data to motorists …
and industry as a way of enhancing traffic safety and providing real-time data to motorists …