General type-2 fuzzy logic systems made simple: a tutorial

JM Mendel - IEEE Transactions on Fuzzy Systems, 2013 - ieeexplore.ieee.org
The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs)
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …

A review of quantum-behaved particle swarm optimization

W Fang, J Sun, Y Ding, X Wu, W Xu - IETE Technical Review, 2010 - Taylor & Francis
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm and it
has attracted a large number of widespread researchers. As a branch of PSO, a probabilistic …

[图书][B] Particle swarm optimisation: classical and quantum perspectives

J Sun, CH Lai, XJ Wu - 2016 - books.google.com
Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …

Partitioned-cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation

Y Li, X Bai, L Jiao, Y Xue - Applied Soft Computing, 2017 - Elsevier
In this paper, in order to search the global optimum solution with a very fast convergence
speed across the whole search space, we propose a partitioned and cooperative quantum …

A hybrid quantum-induced swarm intelligence clustering for the urban trip recommendation in smart city

R Logesh, V Subramaniyaswamy… - Future Generation …, 2018 - Elsevier
The development of internet technologies has brought digital services to the hands of
common man. In the selection process of relevant digital services to the active target user …

Applications of quantum inspired computational intelligence: a survey

A Manju, MJ Nigam - Artificial Intelligence Review, 2014 - Springer
This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …

QPSO algorithm based on Lévy flight and its application in fuzzy portfolio

X Lu, G He - Applied soft computing, 2021 - Elsevier
To solve constrained portfolio selection model effectively, an improved quantum-behaved
particle swarm optimization algorithm (LQPSO) is presented. Firstly, considering its …

A modified Fuzzy C-Means (FCM) Clustering algorithm and its application on carbonate fluid identification

L Liu, SZ Sun, H Yu, X Yue, D Zhang - Journal of Applied Geophysics, 2016 - Elsevier
Considering the fact that the fluid distribution in carbonate reservoir is very complicated and
the existing fluid prediction methods are not able to produce ideal predicted results, this …

Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization

J Sun, W Chen, W Fang, X Wun, W Xu - Engineering Applications of …, 2012 - Elsevier
Microarray technology has been widely applied in study of measuring gene expression
levels for thousands of genes simultaneously. In this technology, gene cluster analysis is …

Fault location of untransposed double-circuit transmission lines based on an improved Karrenbauer matrix and the QPSO algorithm

M Tang, H Lu, B Li - Protection and Control of Modern Power Systems, 2023 - Springer
Some double-circuit transmission lines are untransposed, which results in complex coupling
relations between the parameters of the transmission lines. If the traditional modal …