A quantum inspired hybrid SSA–GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing

R Jain, N Sharma - Cluster Computing, 2023 - Springer
Software as a service (SaaS) provider hires resources from an Infrastructure as a Service
(IaaS) provider and provides these sharable resources to user's applications on lease …

A novel regression prediction method for electronic nose based on broad learning system

Y Wang, P Jia, H Cui, X Peng - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
When the electronic nose (E-nose) is used to predict the concentration of mixed gas, the
traditional regression prediction algorithm may lead to unsatisfactory prediction results and …

A novel route planning method of fixed-wing unmanned aerial vehicle based on improved QPSO

C Huang, J Fei, W Deng - IEEE Access, 2020 - ieeexplore.ieee.org
This paper proposes a quick and accurate method based on an improved quantum-behaved
particle swarm optimization (QPSO) algorithm for route planning of fixed-wing unmanned …

Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants

M Asif, A Amin, U Jamil, A Mahmood… - Energy Exploration …, 2024 - journals.sagepub.com
The ever-increasing electricity demand, its dependency on fossil fuels, and the consequent
environmental degradation are major concerns of this era. The worldwide domination of …

Quantum-behaved particle swarm optimization with weighted mean personal best position and adaptive local attractor

S Chen - Information, 2019 - mdpi.com
Motivated by concepts in quantum mechanics and particle swarm optimization (PSO),
quantum-behaved particle swarm optimization (QPSO) was proposed as a variant of PSO …

Optimization of Redundancy Allocation Problem Using Quantum Particle Swarm Optimization Algorithm Under Uncertain Environment

R Paramanik, SK Mahato, N Bhattacharyee - Advances in Reliability …, 2023 - Springer
Reliability optimization of a redundancy allocation problem is an important area of research
in the literature. The main purpose of this type of problem is to enhance the reliability of the …

Feature extraction and classification of citrus juice by using an enhanced L-KSVD on data obtained from electronic nose

W Cao, C Liu, P Jia - Sensors, 2019 - mdpi.com
Aroma plays a significant role in the quality of citrus fruits and processed products. The
detection and analysis of citrus volatiles can be measured by an electronic nose (E-nose); in …

An Improved Quantum Crossover Operator for Binary Evolutionary Optimization of Thinned Array Antennas

EL Zich, A Niccolai, M Mussetta… - … Asian Conference on …, 2024 - ieeexplore.ieee.org
Many engineering optimization problems may be rephrased in terms of equivalent binary
problems, and these can be effectively tackled with evolutionary algorithms. Unfortunately …

Qdds: A novel quantum swarm algorithm inspired by a double dirac delta potential

S Sengupta, S Basak, RA Peters - 2018 IEEE Symposium …, 2018 - ieeexplore.ieee.org
In this paper a novel Quantum Double Delta Swarm (QDDS) algorithm modeled after the
mechanism of convergence to the center of attractive potential field generated within a …

A novel technique solving shortages of low-concentration samples of electronic nose based on global and local features fusion

D Xu, P Jia, H Cao, W Cao, G Wu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Low-concentration samples play an important role in the training of the electronic nose (E-
nose), while low-concentration samples are difficult to obtain because of the limited …