Results 21 to 30 of about 14,617,102 (265)

Alternate PSO-Based Adaptive Interval Type-2 Intuitionistic Fuzzy C-Means Clustering Algorithm for Color Image Segmentation

IEEE Access, 2019
Interval type-2 fuzzy c-means (IT2FCM) clustering algorithm can describe more uncertainty than fuzzy c-means (FCM) clustering algorithm by using two fuzzifiers to construct a more inclusive boundary.
Feng Zhao, Yilei Chen, Hanqiang Liu, Jiulun Fan   +3 more
doaj   +1 more source

Building nearest prototype classifiers using a Michigan approach PSO [PDF]

, 2007
IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Galván, Inés M., Alejandro Cervantes, Pedro Isasi, Cervantes Rovira, Alejandro, Ines Galvan, Cervantes, Alejandro, Isasi, Pedro, Galván León, Inés María, Isasi Viñuela, Pedro   +8 more
core   +1 more source

Orthogonal learning particle swarm optimization [PDF]

, 2010
Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan, Jun Zhang, Yu-hui Shi, Zhan, Z-H., Yun Li, Li, Y., Shi, Y-H., Zhang, J.   +7 more
core   +1 more source

WSN clustering routing algorithm based on PSO optimized fuzzy C-means

Tongxin xuebao, 2021
Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the ...
Aijing SUN, Shichang LI, Yicai ZHANG
doaj   +2 more sources

Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem

, 2008
Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović, Darby-Dowman, K, Moreno-Pérez, J A, S. Consoli, J. A. Moreno Pérez, Mladenović, N, K. Darby-Dowman, Consoli, S, Moreno-Pérez, JA   +8 more
core   +1 more source

Ionospheric irregularities and scintillations: a direct comparison of in situ density observations with ground-based L-band receivers

Earth, Planets and Space, 2020
Ionospheric irregularities can affect satellite communication and navigation by causing scintillations of radio signals. The scintillations are routinely measured using ground-based networks of receivers.
Sharon Aol, Stephan Buchert, Edward Jurua   +2 more
doaj   +1 more source

Application of Parallel Particle Swarm Optimize Support Vector Machine Model Based on Hadoop Framework in the Analysis of Railway Passenger Flow Data in China

Chemical Engineering Transactions, 2015
In recent years, the development of high-speed railway industry in China is very rapid. However, the development of Chinese high speed railway cannot be further improved without basic research. The passenger flow is the basis and foundation to build high-
W. Xun, Y.B. An, R. Jie
doaj   +1 more source

AMPSO: A new Particle Swarm Method for Nearest Neighborhood Classification [PDF]

, 2009
Nearest prototype methods can be quite successful on many pattern classification problems. In these methods, a collection of prototypes has to be found that accurately represents the input patterns.
Galván, Inés M., Cervantes, Alejandro, Isasi, Pedro   +2 more
core   +1 more source

Foraging behavior analysis of swarm robotics system

MATEC Web of Conferences, 2018
Swarm robotics is a number of small robots that are synchronically works together to accomplish a given task. Swarm robotics faces many problems in performing a given task.
Sakthivelmurugan E., Senthilkumar G., Prithiviraj K. G., Tinu Devraj K. R.   +3 more
doaj   +2 more sources

New Swarm products NeGIX and TEGIX for monitoring horizontal ionospheric gradients

Journal of Space Weather and Space Climate
The detection, monitoring, and characterization of ionospheric perturbations are key areas of space weather research due to their significant impact on man-made technological systems.
Cahuasquí Juan Andrés, Hoque Mohammed Mainul, Jakowski Norbert, Buchert Stephan, Vasylyev Dmytro, Nykiel Grzegorz, David Paul, Tagargouste Youssef, Kriegel Martin, Berdermann Jens, Nielsen Klaus   +10 more
doaj   +1 more source