A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

W Deng, R Yao, H Zhao, X Yang, G Li - Soft computing, 2019 - Springer
Aiming at the problem that the most existing fault diagnosis methods could not effectively
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …

[HTML][HTML] Quantum computing challenges in the software industry. A fuzzy AHP-based approach

U Awan, L Hannola, A Tandon, RK Goyal… - Information and Software …, 2022 - Elsevier
Context The current technology revolution has posed unexpected challenges for the
software industry. In recent years, the field of quantum computing (QC) technologies has …

Physics‐inspired optimization algorithms: a survey

A Biswas, KK Mishra, S Tiwari… - Journal of Optimization, 2013 - Wiley Online Library
Natural phenomenon can be used to solve complex optimization problems with its excellent
facts, functions, and phenomenon. In this paper, a survey on physics‐based algorithm is …

Evacuation path optimization based on quantum ant colony algorithm

M Liu, F Zhang, Y Ma, HR Pota, W Shen - Advanced Engineering …, 2016 - Elsevier
Evacuation planning contains more than a few decisions which have to be made in a very
short period of time and in the most appropriate way. Evacuation path optimization has vital …

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 …

Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection

W Bounoua, AB Benkara, A Kouadri… - Transactions of the …, 2020 - journals.sagepub.com
Principal component analysis (PCA) is a common tool in the literature and widely used for
process monitoring and fault detection. Traditional PCA is associated with the two well …

On the effects of pseudorandom and quantum-random number generators in soft computing

JJ Bird, A Ekárt, DR Faria - Soft computing, 2020 - Springer
In this work, we argue that the implications of pseudorandom and quantum-random number
generators (PRNG and QRNG) inexplicably affect the performances and behaviours of …

A novel quantum algorithm for ant colony optimisation

M Ghosh, N Dey, D Mitra… - IET Quantum …, 2022 - Wiley Online Library
Ant colony optimisation (ACO) is a commonly used meta‐heuristic to solve complex
combinatorial optimisation problems like the travelling salesman problem (TSP), vehicle …

A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and DS evidence reasoning

Q Jia, J Hu, W Zhang - Aerospace Science and Technology, 2021 - Elsevier
Fault detection, with the characteristics of strong uncertainty and randomness, has always
been one of the research hotspots in the field of aerospace. Considering that devices will …

Feature selection based on meta-heuristics for biomedicine

L Wang, H Ni, R Yang, V Pappu, MB Fenn… - Optimization Methods …, 2014 - Taylor & Francis
Feature selection can efficiently improve the accuracy of classification and reduce the
measurement, storage and computation demands, and thus it has been applied in …