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  • Search: subject:"Quantum Behaved"
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Year of publication
Subject
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Aging 1 Clinical Decision Support System 1 Data Mining 1 Diversity 1 Fuel cell 1 Global Convergence 1 Hybrid system 1 Imperialist competitive algorithm (ICA) 1 K-Means Clustering 1 Load sharing 1 Optimization algorithm 1 PSO Algorithm 1 Photovoltaic 1 Quantum Behaved 1 Quantum behaved particle swarm optimization algorithm (QPSO) 1 Quantum-Behaved Particle Swarm Optimization 1 Radial Basis Function Neural Network 1 Self-Renewal Mechanism 1 economic dispatch 1 multiple fuel options 1 quantum-behaved particle swarm optimization 1 valve-point effects 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 4
Language
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English 2 Undetermined 2
Author
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Bigdeli, Nooshin 1 Deng, Jing 1 Kannan, A. 1 Leema, N. 1 Nehemiah, H. Khanna 1 Niu, Qun 1 Wu, Shuyue 1 Zhang, Hong-Yun 1 Zhou, Zhuo 1
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Published in...
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Energies 1 International Journal of Operations Research and Information Systems (IJORIS) 1 International Journal of Swarm Intelligence Research (IJSIR) 1 Renewable and Sustainable Energy Reviews 1
Source
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RePEc 2 Other ZBW resources 2
Showing 1 - 4 of 4
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Quantum-Behaved Particle Swarm Optimization Based Radial Basis Function Network for Classification of Clinical Datasets
Leema, N.; Nehemiah, H. Khanna; Kannan, A. - In: International Journal of Operations Research and … 9 (2018) 2, pp. 32-52
In this article, a classification framework that uses quantum-behaved particle swarm optimization neural network … function neural network (RBFNN). For training the RBFNN K-means clustering algorithm and quantum-behaved particle swarm …
Persistent link: https://www.econbiz.de/10012046948
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A Quantum Particle Swarm Optimization Algorithm Based on Self-Updating Mechanism
Wu, Shuyue - In: International Journal of Swarm Intelligence Research (IJSIR) 9 (2018) 1, pp. 1-19
The living mechanism has limited life in nature; it will age and die with time. This article describes that during the progressive process, the aging mechanism is very important to keep a swarm diverse. In the quantum behavior particle swarm (QPSO) algorithm, the particles are aged and the...
Persistent link: https://www.econbiz.de/10012047855
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An Improved Quantum-Behaved Particle Swarm Optimization Method for Economic Dispatch Problems with Multiple Fuel Options and Valve-Points Effects
Niu, Qun; Zhou, Zhuo; Zhang, Hong-Yun; Deng, Jing - In: Energies 5 (2012) 9, pp. 3655-3673
Quantum-behaved particle swarm optimization (QPSO) is an efficient and powerful population-based optimization technique …
Persistent link: https://www.econbiz.de/10010676023
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Optimal management of hybrid PV/fuel cell/battery power system: A comparison of optimal hybrid approaches
Bigdeli, Nooshin - In: Renewable and Sustainable Energy Reviews 42 (2015) C, pp. 377-393
Optimization (PSO), Quantum behaved Particle Swarm Optimization (QPSO), Ant Colony Optimization (ACO), and Cuckoo Optimization …
Persistent link: https://www.econbiz.de/10011117016
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