… On the other hand, in 2020, PSO performed better than GA by using an integral squared
error as an objective function, employing a nano-network that uses three resources: the …

… Multi-Verse Optimization (MVO) is one of the newest meta-… Hannah Inbarani et al. in [4]
applied PSO integrating with a … versions of PSO for churn prediction that is, PSO having feature …

… Users in WMNs only use their integrated Network Interface Cards (NICs) to connect to mesh
… meta-heuristic optimization model, like behaviour of geese or a swarm of fishes. The PSO …

… strategies related to PHEV integrated smart grid; such as … with particle swarm optimization
(PSO), considering con… on PHEVs optimization using various metaheuristic techniques. Every …

… Obstacle and collision avoidance are integral aspects of UAV path planning, minimizing …
path planning approach for UAVs by employing PSO to address local optima resulting from low …

… This research focuses on the integration of PSO and MVO with an objective to represent the
… It has been guided towards the location that is meta-heuristics like PSO are not assuring …

… Metaverse insanlar için sanal dünya ile gerçek dünyayı bir … , Roblox ve VRChat gibi) meta
verinin öncülleri olarak tanımlanır … çalışma konusu olan metaverse terimi üzerinde durulmuştur. …

… There have been some effective suggestions on how to select appropriate meta-heuristic …
in the given integrated navigation problem has been achieved through the use of IPO, PSO, …

… The PSO is simple to implement since it requires a small number of parameters. PSO is
based on a population of particles that hover through the problem search space through the …

… Therefore, in this paper, we combine both benefits of a GA and PSO by integrating the updating
… meta-heuristics and design an efficient integration strategy for the hybrid of multiple meta-…