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
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Sensors, 2011 Modern information fusion systems essentially associate decision-making processes with multi-sensor systems. Precise decision-making processes depend upon aggregating useful information extracted from large numbers of messages or large datasets ...
Jin-Tsong Jeng, You-Min Jau, Kuo-Lan Su
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Comparative analysis of advanced constraint-handling in quantum PSO with differential mutation for optimal power flow [PDF]
Scientific ReportsOptimal Power Flow (OPF) is a highly nonlinear and constrained optimization problem that seeks optimal operating conditions while ensuring secure and efficient power system operation.
Mourad Naidji +5 more
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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
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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
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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
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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
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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
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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
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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
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