| 2008 |
|---|
| 66 | EE | T. Aruldoss Albert Victoire,
Ponnuthurai N. Suganthan:
Differential evolution and Evolutionary Programming for solving non-convex economic dispatch problems.
IEEE Congress on Evolutionary Computation 2008: 1785-1791 |
| 65 | EE | Ling Yu,
Ponnuthurai N. Suganthan:
Empirical comparison of niching methods on hybrid composition functions.
IEEE Congress on Evolutionary Computation 2008: 2194-2201 |
| 64 | EE | Quan-Qe Pan,
Mehmet Fatih Tasgetiren,
Yun-Chia Liang,
Ponnuthurai N. Suganthan:
Upper bounds on Taillard's benchmark suite for the no-wait flowshop scheduling problem with makespan criterion.
IEEE Congress on Evolutionary Computation 2008: 2955-2961 |
| 63 | EE | Rammohan Mallipeddi,
Ponnuthurai N. Suganthan:
Empirical study on the effect of population size on Differential evolution Algorithm.
IEEE Congress on Evolutionary Computation 2008: 3663-3670 |
| 62 | EE | Shizheng Zhao,
Jing J. Liang,
Ponnuthurai N. Suganthan,
Mehmet Fatih Tasgetiren:
Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization.
IEEE Congress on Evolutionary Computation 2008: 3845-3852 |
| 61 | EE | Rammohan Mallipeddi,
Ponnuthurai N. Suganthan:
Evaluation of novel adaptive evolutionary programming on four constraint handling techniques.
IEEE Congress on Evolutionary Computation 2008: 4045-4052 |
| 60 | EE | Ashish Anand,
Gary B. Fogel,
Ganesan Pugalenthi,
Ponnuthurai N. Suganthan:
Prediction of Transcription Factor Families Using DNA Sequence Features.
PRIB 2008: 154-164 |
| 59 | EE | Ganesan Pugalenthi,
Ponnuthurai N. Suganthan,
Ramanathan Sowdhamini,
Saikat Chakrabarti:
MegaMotifBase: a database of structural motifs in protein families and superfamilies.
Nucleic Acids Research 36(Database-Issue): 218-221 (2008) |
| 2007 |
|---|
| 58 | EE | Mehmet Fatih Tasgetiren,
Ponnuthurai N. Suganthan,
Quan-Qe Pan:
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem.
GECCO 2007: 158-167 |
| 57 | EE | C. Dürr,
T. Fühner,
Ponnuthurai N. Suganthan:
LisBON: A framework for parallelisation and hybridisation of optimisation algorithms.
IEEE Congress on Evolutionary Computation 2007: 1717-1724 |
| 56 | EE | G. Kandavanam,
Dmitri Botvich,
Sasitharan Balasubramaniam,
Ponnuthurai N. Suganthan,
William Donnelly:
A multi-layered solution for supporting isp traffic demand using genetic algorithm.
IEEE Congress on Evolutionary Computation 2007: 2032-2039 |
| 55 | EE | Mehmet Fatih Tasgetiren,
Ponnuthurai N. Suganthan,
Quan-Qe Pan,
Yun-Chia Liang:
A genetic algorithm for the generalized traveling salesman problem.
IEEE Congress on Evolutionary Computation 2007: 2382-2389 |
| 54 | EE | Ashish Anand,
Ponnuthurai N. Suganthan,
Kalyanmoy Deb:
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data.
IEEE Congress on Evolutionary Computation 2007: 297-304 |
| 53 | EE | T. Aruldoss Albert Victoire,
Ponnuthurai N. Suganthan:
Improved MOCLPSO algorithm for environmental/economic dispatch.
IEEE Congress on Evolutionary Computation 2007: 3072-3076 |
| 52 | EE | V. L. Huang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
Mehmet Fatih Tasgetiren:
Multi-objective optimization based on self-adaptive differential evolution algorithm.
IEEE Congress on Evolutionary Computation 2007: 3601-3608 |
| 51 | EE | Ganesan Pugalenthi,
Ponnuthurai N. Suganthan,
Ramanathan Sowdhamini,
Saikat Chakrabarti:
SMotif: a server for structural motifs in proteins.
Bioinformatics 23(5): 637-638 (2007) |
| 2006 |
|---|
| 50 | EE | Ashish Anand,
Gary B. Fogel,
E. Ke Tang,
Ponnuthurai N. Suganthan:
Feature Selection Approach for Quantitative Prediction of Transcriptional Activities.
CIBCB 2006: 1-6 |
| 49 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
C. H. Tay,
H. S. Pa:
Personal Identification System based on Multiple Palmprint Features.
ICARCV 2006: 1-6 |
| 48 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis.
ICPR (3) 2006: 125-128 |
| 47 | EE | Jing J. Liang,
Ponnuthurai N. Suganthan:
Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning.
SEAL 2006: 213-220 |
| 46 | EE | E. Ke Tang,
Ponnuthurai N. Suganthan,
Xin Yao:
Gene selection algorithms for microarray data based on least squares support vector machine.
BMC Bioinformatics 7: 95 (2006) |
| 45 | EE | Jing J. Liang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
S. Baskar:
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions.
IEEE Trans. Evolutionary Computation 10(3): 281-295 (2006) |
| 44 | EE | V. L. Huang,
Ponnuthurai N. Suganthan,
Jing J. Liang:
Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems.
Int. J. Intell. Syst. 21(2): 209-226 (2006) |
| 43 | EE | E. Ke Tang,
Ponnuthurai N. Suganthan,
Xin Yao:
An analysis of diversity measures.
Machine Learning 65(1): 247-271 (2006) |
| 42 | EE | Jing J. Liang,
S. Baskar,
Ponnuthurai N. Suganthan,
A. Kai Qin:
Performance Evaluation of Multiagent Genetic Algorithm.
Natural Computing 5(1): 83-96 (2006) |
| 41 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction.
Pattern Recognition 39(9): 1805-1808 (2006) |
| 2005 |
|---|
| 40 | | A. Kai Qin,
S. Y. M. Shi,
Ponnuthurai N. Suganthan,
Marco Loog:
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data.
AAAI 2005: 851-855 |
| 39 | | E. Ke Tang,
Ponnuthurai N. Suganthan,
Xin Yao:
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization.
CIBCB 2005: 9-16 |
| 38 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Self-adaptive differential evolution algorithm for numerical optimization.
Congress on Evolutionary Computation 2005: 1785-1791 |
| 37 | EE | Jing J. Liang,
Ponnuthurai N. Suganthan:
Dynamic multi-swarm particle swarm optimizer with local search.
Congress on Evolutionary Computation 2005: 522-528 |
| 36 | EE | Qin-Yu Zhu,
A. Kai Qin,
Ponnuthurai N. Suganthan,
Guang-Bin Huang:
Evolutionary extreme learning machine.
Pattern Recognition 38(10): 1759-1763 (2005) |
| 35 | EE | E. Ke Tang,
Ponnuthurai N. Suganthan,
Xin Yao,
A. Kai Qin:
Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognition 38(4): 485-493 (2005) |
| 34 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Marco Loog:
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion.
Pattern Recognition 38(4): 613-616 (2005) |
| 33 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Initialization insensitive LVQ algorithm based on cost-function adaptation.
Pattern Recognition 38(5): 773-776 (2005) |
| 32 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Enhanced neural gas network for prototype-based clustering.
Pattern Recognition 38(8): 1275-1288 (2005) |
| 2004 |
|---|
| 31 | EE | E. Ke Tang,
Ponnuthurai N. Suganthan,
Xin Yao:
Nonlinear Feature Extraction Using Evolutionary Algorithm.
ICONIP 2004: 1014-1019 |
| 30 | EE | Jing J. Liang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
S. Baskar:
Evaluation of Comprehensive Learning Particle Swarm Optimizer.
ICONIP 2004: 230-235 |
| 29 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Kernel Neural Gas Algorithms with Application to Cluster Analysis.
ICPR (4) 2004: 617-620 |
| 28 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
A Novel Kernel Prototype-Based Learning Algorithm.
ICPR (4) 2004: 621-624 |
| 27 | EE | Jing J. Liang,
A. Kai Qin,
Ponnuthurai N. Suganthan,
S. Baskar:
Particle swarm optimization algorithms with novel learning strategies.
SMC (4) 2004: 3659-3664 |
| 26 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan,
Jing J. Liang:
A new generalized LVQ algorithm via harmonic to minimum distance measure transition.
SMC (5) 2004: 4821-4825 |
| 25 | EE | T. Lu,
Ponnuthurai N. Suganthan:
An Accumulation Algorithm for Video Shot Boundary Detection.
Multimedia Tools Appl. 22(1): 89-106 (2004) |
| 24 | EE | A. Kai Qin,
Ponnuthurai N. Suganthan:
Robust growing neural gas algorithm with application in cluster analysis.
Neural Networks 17(8-9): 1135-1148 (2004) |
| 2003 |
|---|
| 23 | EE | S. Y. M. Shi,
Ponnuthurai N. Suganthan:
Feature Analysis and Classification of Protein Secondary Structure Data.
ICANN 2003: 1151-1158 |
| 22 | | K. G. Khoo,
Ponnuthurai N. Suganthan:
Structural pattern recognition using genetic algorithms with specialized operators.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(1): 156-165 (2003) |
| 21 | EE | Xiang Cao,
Ponnuthurai N. Suganthan:
Video shot motion characterization based on hierarchical overlapped growing neural gas networks.
Multimedia Syst. 9(4): 378-385 (2003) |
| 20 | EE | Ajantha S. Atukorale,
Tom Downs,
Ponnuthurai N. Suganthan:
Boosting the HONG network.
Neurocomputing 51: 75-86 (2003) |
| 2002 |
|---|
| 19 | EE | Xiang Cao,
Ponnuthurai N. Suganthan:
Neural Network Based Temporal Video Segmentation.
Int. J. Neural Syst. 12(3-4): 263-269 (2002) |
| 18 | EE | Ponnuthurai N. Suganthan:
Structural pattern recognition using genetic algorithms.
Pattern Recognition 35(9): 1883-1893 (2002) |
| 17 | EE | K. G. Khoo,
Ponnuthurai N. Suganthan:
Evaluation of genetic operators and solution representations for shape recognition by genetic algorithms.
Pattern Recognition Letters 23(13): 1589-1597 (2002) |
| 2001 |
|---|
| 16 | EE | Yin Huang,
Ponnuthurai N. Suganthan,
Shankar M. Krishnan,
Xiang Cao:
Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map.
ICANN 2001: 1042-1047 |
| 15 | EE | Xiang Cao,
Ponnuthurai N. Suganthan:
Video Sequence Boundary Detection Using Neural Gas Networks.
ICANN 2001: 1048-1053 |
| 14 | EE | Ponnuthurai N. Suganthan:
Pattern classification using multiple hierarchical overlapped self-organising maps.
Pattern Recognition 34(11): 2173-2179 (2001) |
| 2000 |
|---|
| 13 | EE | Ajantha S. Atukorale,
Tom Downs,
Ponnuthurai N. Suganthan:
On the Performance of the HONG Network for Pattern Classification.
IJCNN (2) 2000: 285-290 |
| 12 | EE | Ajantha S. Atukorale,
Ponnuthurai N. Suganthan:
Hierarchical overlapped neural gas network with application to pattern classification.
Neurocomputing 35(1-4): 165-176 (2000) |
| 1999 |
|---|
| 11 | EE | Ajantha S. Atukorale,
Ponnuthurai N. Suganthan:
Combining Classifiers based on Confidence Values.
ICDAR 1999: 37-40 |
| 10 | EE | Ponnuthurai N. Suganthan:
Hierarchical overlapped SOM's for pattern classification.
IEEE Transactions on Neural Networks 10(1): 193-196 (1999) |
| 9 | EE | Ponnuthurai N. Suganthan,
Eam Khwang Teoh,
Dinesh P. Mital:
Hopfield network with constraint parameter adaptation for overlapped shape recognition.
IEEE Transactions on Neural Networks 10(2): 444-449 (1999) |
| 1998 |
|---|
| 8 | | Ponnuthurai N. Suganthan,
Nikhil R. Pal:
Pattern Classification Using Multiple SOMs.
ICONIP 1998: 1065-1068 |
| 7 | EE | Ponnuthurai N. Suganthan,
Hong Yan:
Recognition of handprinted Chinese characters by constrained graph matching.
Image Vision Comput. 16(3): 191-201 (1998) |
| 6 | EE | Ponnuthurai N. Suganthan,
Hong Yan,
Eam Khwang Teoh,
Dinesh P. Mital:
Optimal encoding of graph homomorphism energy using fuzzy information aggregation operators.
Pattern Recognition 31(5): 623-639 (1998) |
| 1997 |
|---|
| 5 | EE | Ponnuthurai N. Suganthan,
Eam Khwang Teoh,
Dinesh P. Mital:
Optimal mapping of graph homomorphism onto self organising Hopfield network.
Image Vision Comput. 15(9): 679-694 (1997) |
| 1995 |
|---|
| 4 | EE | Ponnuthurai N. Suganthan,
Eam Khwang Teoh,
Dinesh P. Mital:
Pattern recognition by homomorphic graph matching using Hopfield neural networks.
Image Vision Comput. 13(1): 45-60 (1995) |
| 3 | EE | Ponnuthurai N. Suganthan,
Eam Khwang Teoh,
Dinesh P. Mital:
Self-organizing Hopfield network for attributed relational graph matching.
Image Vision Comput. 13(1): 61-73 (1995) |
| 2 | EE | Ponnuthurai N. Suganthan,
Eam Khwang Teoh,
Dinesh P. Mital:
Pattern recognition by graph matching using the Potts MFT neural networks.
Pattern Recognition 28(7): 997-1009 (1995) |
| 1994 |
|---|
| 1 | | Ponnuthurai N. Suganthan,
Eam Khwang Teoh,
Dinesh P. Mital:
On Attributed Relational Graph Matching Using Hopfield Network.
ECAI 1994: 236-240 |
