Quantum-behaved particle swarm optimization: analysis of individual particle behavior and parameter selection J Sun, W Fang, X Wu, V Palade, W Xu Evolutionary computation 20 (3), 349-393, 2012 | 432 | 2012 |
Tinier-YOLO: A real-time object detection method for constrained environments W Fang, L Wang, P Ren Ieee Access 8, 1935-1944, 2019 | 400 | 2019 |
Convergence analysis and improvements of quantum-behaved particle swarm optimization J Sun, X Wu, V Palade, W Fang, CH Lai, W Xu Information Sciences 193, 81-103, 2012 | 252 | 2012 |
Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point J Sun, W Fang, V Palade, X Wu, W Xu Applied Mathematics and Computation 218 (7), 3763-3775, 2011 | 245 | 2011 |
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks W Fang, S Yang, X Yao IEEE Transactions on Intelligent Transportation Systems, 2015 | 243 | 2015 |
Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization J Sun, V Palade, XJ Wu, W Fang, Z Wang IEEE Transactions on Industrial Informatics 10 (1), 222-232, 2013 | 234 | 2013 |
An effective method of weld defect detection and classification based on machine vision J Sun, C Li, XJ Wu, V Palade, W Fang IEEE Transactions on Industrial Informatics 15 (12), 6322-6333, 2019 | 202 | 2019 |
A review of quantum-behaved particle swarm optimization W Fang, J Sun, Y Ding, X Wu, W Xu IETE Technical Review 27 (4), 336-348, 2010 | 166 | 2010 |
Convergence analysis of quantum-behaved particle swarm optimization algorithm and study on its control parameter W Fang, J Sun, ZP Xie, WB Xu | 110 | 2010 |
Solving the economic dispatch problem with a modified quantum-behaved particle swarm optimization method J Sun, W Fang, D Wang, W Xu Energy Conversion and Management 50 (12), 2967-2975, 2009 | 97 | 2009 |
Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization J Sun, W Chen, W Fang, X Wun, W Xu Engineering Applications of Artificial Intelligence 25 (2), 376-391, 2012 | 94 | 2012 |
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population W Fang, J Sun, H Chen, X Wu Information Sciences 330, 19-48, 2016 | 92 | 2016 |
A quantum-behaved particle swarm optimization with diversity-guided mutation for the design of two-dimensional IIR digital filters J Sun, W Fang, W Xu IEEE Transactions on Circuits and Systems II: Express Briefs 57 (2), 141-145, 2010 | 84 | 2010 |
A new mutated quantum-behaved particle swarm optimizer for digital IIR filter design W Fang, J Sun, W Xu EURASIP Journal on Advances in Signal Processing 2009, 1-7, 2010 | 82 | 2010 |
A novel YOLO-Based real-time people counting approach P Ren, W Fang, S Djahel 2017 international smart cities conference (ISC2), 1-2, 2017 | 80 | 2017 |
QoS multicast routing using a quantum-behaved particle swarm optimization algorithm J Sun, W Fang, X Wu, Z Xie, W Xu Engineering Applications of Artificial Intelligence 24 (1), 123-131, 2011 | 80 | 2011 |
Random drift particle swarm optimization algorithm: convergence analysis and parameter selection J Sun, X Wu, V Palade, W Fang, Y Shi Machine Learning 101, 345-376, 2015 | 76 | 2015 |
Multipopulation ant colony system with knowledge-based local searches for multiobjective supply chain configuration X Zhang, ZH Zhan, W Fang, P Qian, J Zhang IEEE Transactions on Evolutionary Computation 26 (3), 512-526, 2021 | 72 | 2021 |
Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization J Sun, X Wu, W Fang, Y Ding, H Long, W Xu Information Sciences 182 (1), 93-114, 2012 | 70 | 2012 |
Quantum-behaved particle swarm optimization with binary encoding J Sun, W Xu, W Fang, Z Chai Adaptive and Natural Computing Algorithms: 8th International Conference …, 2007 | 67 | 2007 |