Swarm intelligence inspired intrusion detection systems—a systematic literature review
Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …
securing a network. A huge number of techniques have been proposed and implemented to …
Set-based particle swarm optimisation: a review
The set-based particle swarm optimisation algorithm is a swarm-based meta-heuristic that
has gained popularity in recent years. In contrast to the original particle swarm optimisation …
has gained popularity in recent years. In contrast to the original particle swarm optimisation …
[HTML][HTML] A novel ant colony algorithm for solving shortest path problems with fuzzy arc weights
The shortest path (SP) problem constitutes one of the most prominent topics in graph theory
and has practical applications in many research areas such as transportation, network …
and has practical applications in many research areas such as transportation, network …
A different approach for solving the shortest path problem under mixed fuzzy environment
The authors present a new algorithm for solving the shortest path problem (SPP) in a mixed
fuzzy environment. With this algorithm, the authors can solve the problems with different sets …
fuzzy environment. With this algorithm, the authors can solve the problems with different sets …
Logistics optimization using hybrid genetic algorithm (hga): a solution to the vehicle routing problem with time windows (vrptw)
The Vehicle Routing Problem with Time Windows (VRPTW) is paramount in elevating
operational efficiency, driving cost reductions, and enhancing customer satisfaction. It is a …
operational efficiency, driving cost reductions, and enhancing customer satisfaction. It is a …
[HTML][HTML] A comprehensive survey on segment routing traffic engineering
D Wu, L Cui - Digital Communications and Networks, 2023 - Elsevier
Traffic Engineering (TE) enables management of traffic in a manner that optimizes utilization
of network resources in an efficient and balanced manner. However, existing TE solutions …
of network resources in an efficient and balanced manner. However, existing TE solutions …
Set based particle swarm optimization for the feature selection problem
Selecting the correct features when training a classification algorithm, has a significant
impact on the performance of the classifier. More features provide more information, but can …
impact on the performance of the classifier. More features provide more information, but can …
Coverage control of sensor networks in IoT based on RPSO
X Wang, H Zhang, S Fan, H Gu - IEEE internet of things journal, 2018 - ieeexplore.ieee.org
In this paper, we proposed a novel method to solve the coverage control problem of sensor
networks in the Internet of Things (IoT). The coverage control is an important index to …
networks in the Internet of Things (IoT). The coverage control is an important index to …
Reinforcement learning-enabled resampling particle swarm optimization for sensor relocation in reconfigurable WSNs
M Wang, X Wang, K Jiang, B Fan - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Aiming to maximize coverage performance and reduce the number of sensors deployed in
the reconfigurable wireless sensor networks (RWSNs), in this paper, we first formulate a new …
the reconfigurable wireless sensor networks (RWSNs), in this paper, we first formulate a new …
A geometrical path planning method for unmanned aerial vehicle in 2D/3D complex environment
X Liang, G Meng, Y Xu, H Luo - Intelligent Service Robotics, 2018 - Springer
This paper presents a geometrical path planning method, and it can help unmanned aerial
vehicle to find a collision-free path in two-dimensional and three-dimensional (2D and 3D) …
vehicle to find a collision-free path in two-dimensional and three-dimensional (2D and 3D) …