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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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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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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Applied Sciences, 2020 The symbiotic organism search (SOS) algorithm is a promising meta-heuristic evolutionary algorithm. Its excellent quality of global optimization solution has aroused the interest of many researchers.
Shu-Chuan Chu +2 more
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Novel Adaptive Sparse-Spike Deconvolution Bearing Fault Detection Method Based on Curvelet Transform
IEEE Access, 2021 This paper has proposed a novel bearing fault detection method about adaptive Sparse-spike Deconvolution based on Curvelet Transform (CTSSD), where the novel technique about adaptive Sparse-spike Deconvolution names after ASSD.
Yanfeng Li +3 more
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Image compression based on vector quantization using cuckoo search optimization technique
Ain Shams Engineering Journal, 2018 Most common vector quantization (VQ) is Linde Buzo Gray (LBG), that designs a local optimal codebook for image compression. Recently firefly algorithm (FA), particle swarm optimization (PSO) and Honey bee mating optimization (HBMO) were designed which ...
Karri Chiranjeevi, Uma Ranjan Jena
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