Results 51 to 60 of about 2,009 (157)

Chaotic Particle Swarm Optimisation Algorithm Based Quadrotor Control

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Unmanned aerial vehicles are currently used for civil and military purposes. Today, quadrotor vehicles are highly important example of non-conventional underactuated rotary-wing platforms.
M. Buğrahan ARTUÇ, İsmail BAYEZİT
doaj  

Prediction model of insulator contamination degree based on adaptive mutation particle swarm optimisation and general regression neural network

The Journal of Engineering, 2019
The contaminants accumulated on the surface of transmission line insulator mainly come from the suspended particles in the air. Therefore, it is necessary to consider meteorological factors and environmental factors in the prediction of insulator ...
Rumeng Wang, Ming Zhang, Yunpeng Jiang, Yong Yang   +3 more
doaj   +1 more source

A hybrid particle swarm optimisation for flexible casting job shop scheduling problem with batch processing machine

IET Collaborative Intelligent Manufacturing
A flexible casting job shop scheduling problem (FCJSP) with batch processing machines is proposed based on the analysis of the flexible job shop scheduling problem (FJSP) and the study of the expendable casting process. Considering the makespan under the
Wei Zhang, Mengzhen Zhuang, Hongtao Tang, Xinyu Li, Shunsheng Guo   +4 more
doaj   +1 more source

Improved energy efficient localization of UAVs in farmlands using hybrid metaheuristic optimization algorithms

Energy Conversion and Management: X
Vast farmlands and areas that require pesticide application are often irregular and fragmented, necessitating the use of unmanned aerial vehicles (UAVs) for pesticide spraying where onboard processing takes place.
Rohit Rama Subramaniam, Om Anand, Shankar Thangavelu, S. Ravi   +3 more
doaj   +1 more source

Nature-inspired waveform optimisation for range spread target detection in cognitive radar

The Journal of Engineering, 2019
The waveform optimisation problem in cognitive radar is non-convex and will have sub-optimal solutions when solved by the semi-definite relaxation (SDR) technique. Here, a novel nature-inspired waveform optimisation framework is proposed for range-spread
Qing Wang, Meng Li, Lirong Gao, Kaiming Li, Hua Chen   +4 more
doaj   +1 more source

Particle Swarm Optimisation Applied to the Direct Aperture Optimisation Problem in Radiation Therapy. [PDF]

Cancers (Basel), 2023
Tello-Valenzuela G, Moyano M, Cabrera-Guerrero G.   +2 more
europepmc   +1 more source

Object tracking using firefly algorithm

IET Computer Vision, 2013
Firefly algorithm (FA) is a new meta‐heuristic optimisation algorithm that mimics the social behaviour of fireflies flying in the tropical and temperate summer sky.
Ming‐Liang Gao, Xiao‐Hai He, Dai‐Sheng Luo, Jun Jiang, Qi‐Zhi Teng   +4 more
doaj   +1 more source

Spider monkey optimisation assisted particle filter for robust object tracking

IET Computer Vision, 2017
Particle filters (PFs) are sequential Monte Carlo methods that use particle representation of state‐space model to implement the recursive Bayesian filter for non‐linear and non‐Gaussian systems. Owing to this property, PFs have been extensively used for
Rajesh Rohilla, Vanshaj Sikri, Rajiv Kapoor   +2 more
doaj   +1 more source

Effects of Particle Swarm Optimisation on a Hybrid Load Balancing Approach for Resource Optimisation in Internet of Things. [PDF]

Sensors (Basel), 2023
Datiri DD, Li M.
europepmc   +1 more source

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. [PDF]

Sensors (Basel), 2021
Xie H, Zhang L, Lim CP, Yu Y, Liu H.
europepmc   +1 more source