Parameters optimization of photovoltaic systems using modified quantum inspired particle swarm method [PDF]
Scientific ReportsToday, the need for photovoltaic (PV) energy is increasing due to its abundance and hazard-free nature. A PV system is described by its mathematical models. These models contain intrinsic parameters, not provided by the manufacturer.
Zia Ur Rehman +4 more
doaj +2 more sources
A Feature Selection Method Based on Hybrid Improved Binary Quantum Particle Swarm Optimization
IEEE Access, 2019 As the volume of data available for analysis grows, feature selection is becoming a vital part of ensuring accurate classification results. In classification problems, selecting a small number of features reduces computational complexity, but selecting ...
Qing Wu +4 more
doaj +3 more sources
Three novel quantum-inspired swarm optimization algorithms using different bounded potential fields
Scientific Reports, 2021 Based on the behavior of the quantum particles, it is possible to formulate mathematical expressions to develop metaheuristic search optimization algorithms.
Manuel S. Alvarez-Alvarado +4 more
doaj +1 more source
Parameter estimation of fractional-order chaotic systems by using quantum parallel particle swarm optimization algorithm. [PDF]
PLoS ONE, 2015 Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order chaotic control and synchronization and could be essentially formulated as a multidimensional optimization problem.
Yu Huang +3 more
doaj +1 more source
Hybrid Annealing Krill Herd and Quantum-Behaved Particle Swarm Optimization
Mathematics, 2020 The particle swarm optimization algorithm (PSO) is not good at dealing with discrete optimization problems, and for the krill herd algorithm (KH), the ability of local search is relatively poor.
Cheng-Long Wei, Gai-Ge Wang
doaj +1 more source
IEEE Access, 2021 Nature-inspired metaheuristic optimization algorithms, e.g., the butterfly optimization algorithm (BOA), have become increasingly popular. The BOA, which adapts the food foraging and social behaviors of butterflies, involves randomly defined, algorithmic-
Achikkulath Prasanthi +4 more
doaj +1 more source
Parameter Identification of Lithium Battery Model Based on Chaotic Quantum Sparrow Search Algorithm
Applied Sciences, 2022 An accurate battery model is of great importance for battery state estimation. This study considers the parameter identification of a fractional-order model (FOM) of the battery, which can more realistically describe the reaction process of the cell and ...
Jing Hou +4 more
doaj +1 more source
Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting
Energies, 2016 In existing forecasting research papers support vector regression with chaotic mapping function and evolutionary algorithms have shown their advantages in terms of forecasting accuracy improvement. However, for classical particle swarm optimization (PSO)
Min-Liang Huang
doaj +1 more source
d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response [PDF]
, 2018 Identifying optimal designs for generalized linear models with a binary response can be a challengingtask, especially when there are both discrete and continuous independent factors in the model.
Lukemire, Joshua +2 more
core +1 more source
Exploring Quantum Control Landscape Structure [PDF]
, 2013 A common goal of quantum control is to maximize a physical observable through the application of a tailored field. The observable value as a function of the field constitutes a quantum control landscape.
Donovan, Ashley +3 more
core +1 more source