Kai (Alex) Qin
TitleCited byYear
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
JJ Liang, AK Qin, PN Suganthan, S Baskar
Evolutionary Computation, IEEE Transactions on 10 (3), 281-295, 2006
27232006
Differential evolution algorithm with strategy adaptation for global numerical optimization
AK Qin, VL Huang, PN Suganthan
Evolutionary Computation, IEEE Transactions on 13 (2), 398-417, 2009
24392009
Self-adaptive differential evolution algorithm for numerical optimization
AK Qin, PN Suganthan
Evolutionary Computation, 2005. The 2005 IEEE Congress on 2, 1785-1791, 2005
10112005
Evolutionary extreme learning machine
QY Zhu, AK Qin, PN Suganthan, GB Huang
Pattern recognition 38 (10), 1759-1763, 2005
6002005
Self-adaptive differential evolution algorithm for constrained real-parameter optimization
VL Huang, AK Qin, PN Suganthan
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, 17-24, 2006
372*2006
Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization
X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China
Gene 7, 33, 2013
2032013
Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty
P Yu, AK Qin, DA Clausi
Geoscience and Remote Sensing, IEEE Transactions on 50 (4), 1302-1317, 2012
1562012
Robust growing neural gas algorithm with application in cluster analysis
AK Qin, PN Suganthan
Neural Networks 17 (8), 1135-1148, 2004
1202004
Linear dimensionality reduction using relevance weighted LDA
EK Tang, PN Suganthan, X Yao, AK Qin
Pattern recognition 38 (4), 485-493, 2005
1022005
Multivariate image segmentation using semantic region growing with adaptive edge penalty
AK Qin, DA Clausi
Image Processing, IEEE Transactions on 19 (8), 2157-2170, 2010
1002010
Problem definitions for performance assessment of multi-objective optimization algorithms
VL Huang, AK Qin, K Deb, E Zitzler, PN Suganthan, JJ Liang, M Preuss, ...
Nanyang Technological University, Singapore, Tech. Rep, 2007
982007
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics.
C Zhang, P Lim, AK Qin, KC Tan
IEEE transactions on neural networks and learning systems, 2016
892016
Multi-objective optimization based on self-adaptive differential evolution algorithm
VL Huang, AK Qin, PN Suganthan, MF Tasgetiren
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 3601-3608, 2007
822007
Kernel neural gas algorithms with application to cluster analysis
AK Qin, PN Suganthan
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004
732004
Particle swarm optimization algorithms with novel learning strategies
JJ Liang, AK Qin, PM Suganthan, S Baskar
Systems, Man and Cybernetics, 2004 IEEE International Conference on 4, 3659-3664, 2004
662004
A review of population initialization techniques for evolutionary algorithms
B Kazimipour, X Li, A Qin
Evolutionary Computation (CEC), 2014 IEEE Congress on. IEEE, 2014
642014
A deep convolutional coupling network for change detection based on heterogeneous optical and radar images
J Liu, M Gong, K Qin, P Zhang
IEEE transactions on neural networks and learning systems, 2016
562016
Multiobjective differential evolution with external archive and harmonic distance-based diversity measure
VL Huang, PN Suganthan, AK Qin, S Baskar
School of Electrical and Electronic Engineering Nanyang, Technological …, 2005
552005
MAGIC: MAp-guided ice classification system
DA Clausi, AK Qin, MS Chowdhury, P Yu, P Maillard
Canadian Journal of Remote Sensing 36 (S1), S13-S25, 2010
542010
Evaluation of comprehensive learning particle swarm optimizer
J Liang, A Qin, P Suganthan, S Baskar
Neural Information Processing, 230-235, 2004
542004
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Articles 1–20