Ponnuthurai N. Suganthan

	2009
68		Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Suganthan, Saikat Chakrabarti: Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble. Bioinformatics 25(2): 204-210 (2009)
	2008
67		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
66		Ling Yu, Ponnuthurai N. Suganthan: Empirical comparison of niching methods on hybrid composition functions. IEEE Congress on Evolutionary Computation 2008: 2194-2201
65		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
64		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
63		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
62		Rammohan Mallipeddi, Ponnuthurai N. Suganthan: Evaluation of novel adaptive evolutionary programming on four constraint handling techniques. IEEE Congress on Evolutionary Computation 2008: 4045-4052
61		Ashish Anand, Gary B. Fogel, Ganesan Pugalenthi, Ponnuthurai N. Suganthan: Prediction of Transcription Factor Families Using DNA Sequence Features. PRIB 2008: 154-164
60		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
59		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
58		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
57		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
56		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
55		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
54		T. Aruldoss Albert Victoire, Ponnuthurai N. Suganthan: Improved MOCLPSO algorithm for environmental/economic dispatch. IEEE Congress on Evolutionary Computation 2007: 3072-3076
53		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
52		Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Suganthan, Govindaraju Archunan, Ramanathan Sowdhamini: A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. BMC Bioinformatics 8: (2007)
51		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		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		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		A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog: Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. ICPR (3) 2006: 125-128
47		Jing J. Liang, Ponnuthurai N. Suganthan: Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning. SEAL 2006: 213-220
46		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		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		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		E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao: An analysis of diversity measures. Machine Learning 65(1): 247-271 (2006)
42		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		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		A. Kai Qin, Ponnuthurai N. Suganthan: Self-adaptive differential evolution algorithm for numerical optimization. Congress on Evolutionary Computation 2005: 1785-1791
37		Jing J. Liang, Ponnuthurai N. Suganthan: Dynamic multi-swarm particle swarm optimizer with local search. Congress on Evolutionary Computation 2005: 522-528
36		Qin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang: Evolutionary extreme learning machine. Pattern Recognition 38(10): 1759-1763 (2005)
35		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		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		A. Kai Qin, Ponnuthurai N. Suganthan: Initialization insensitive LVQ algorithm based on cost-function adaptation. Pattern Recognition 38(5): 773-776 (2005)
32		A. Kai Qin, Ponnuthurai N. Suganthan: Enhanced neural gas network for prototype-based clustering. Pattern Recognition 38(8): 1275-1288 (2005)
	2004
31		E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao: Nonlinear Feature Extraction Using Evolutionary Algorithm. ICONIP 2004: 1014-1019
30		Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar: Evaluation of Comprehensive Learning Particle Swarm Optimizer. ICONIP 2004: 230-235
29		A. Kai Qin, Ponnuthurai N. Suganthan: Kernel Neural Gas Algorithms with Application to Cluster Analysis. ICPR (4) 2004: 617-620
28		A. Kai Qin, Ponnuthurai N. Suganthan: A Novel Kernel Prototype-Based Learning Algorithm. ICPR (4) 2004: 621-624
27		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		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		T. Lu, Ponnuthurai N. Suganthan: An Accumulation Algorithm for Video Shot Boundary Detection. Multimedia Tools Appl. 22(1): 89-106 (2004)
24		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		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		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		Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan: Boosting the HONG network. Neurocomputing 51: 75-86 (2003)
	2002
19		Xiang Cao, Ponnuthurai N. Suganthan: Neural Network Based Temporal Video Segmentation. Int. J. Neural Syst. 12(3-4): 263-269 (2002)
18		Ponnuthurai N. Suganthan: Structural pattern recognition using genetic algorithms. Pattern Recognition 35(9): 1883-1893 (2002)
17		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		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		Xiang Cao, Ponnuthurai N. Suganthan: Video Sequence Boundary Detection Using Neural Gas Networks. ICANN 2001: 1048-1053
14		Ponnuthurai N. Suganthan: Pattern classification using multiple hierarchical overlapped self-organising maps. Pattern Recognition 34(11): 2173-2179 (2001)
	2000
13		Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan: On the Performance of the HONG Network for Pattern Classification. IJCNN (2) 2000: 285-290
12		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		Ajantha S. Atukorale, Ponnuthurai N. Suganthan: Combining Classifiers based on Confidence Values. ICDAR 1999: 37-40
10		Ponnuthurai N. Suganthan: Hierarchical overlapped SOM's for pattern classification. IEEE Transactions on Neural Networks 10(1): 193-196 (1999)
9		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		Ponnuthurai N. Suganthan, Hong Yan: Recognition of handprinted Chinese characters by constrained graph matching. Image Vision Comput. 16(3): 191-201 (1998)
6		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		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		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		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		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

Coauthor Index

1	Ashish Anand	[50] [55] [61]
2	Govindaraju Archunan	[52]
3	Ajantha S. Atukorale	[11] [12] [13] [20]
4	Sasitharan Balasubramaniam	[57]
5	S. Baskar	[27] [30] [42] [45]
6	Dmitri Botvich	[57]
7	Xiang Cao	[15] [16] [19] [21]
8	Saikat Chakrabarti	[51] [60] [68]
9	Kalyanmoy Deb	[55]
10	William Donnelly	[57]
11	Tom Downs	[13] [20]
12	C. Dürr	[58]
13	Gary B. Fogel	[50] [61]
14	T. Fühner	[58]
15	Guang-Bin Huang	[36]
16	V. L. Huang	[44] [53]
17	Yin Huang	[16]
18	G. Kandavanam	[57]
19	K. G. Khoo	[17] [22]
20	Shankar M. Krishnan	[16]
21	Jing J. Liang	[26] [27] [30] [37] [42] [44] [45] [47] [63]
22	Yun-Chia Liang	[56] [65]
23	Marco Loog	[34] [40] [41] [48]
24	T. Lu	[25]
25	Rammohan Mallipeddi	[62] [64]
26	Dinesh P. Mital	[1] [2] [3] [4] [5] [6] [9]
27	H. S. Pa	[49]
28	Nikhil R. Pal	[8]
29	Quan-Qe Pan	[56] [59] [65]
30	Ganesan Pugalenthi	[51] [52] [60] [61] [68]
31	A. Kai Qin	[24] [26] [27] [28] [29] [30] [32] [33] [34] [35] [36] [38] [40] [41] [42] [45] [48] [49] [53]
32	S. Y. M. Shi	[23] [40]
33	Ramanathan Sowdhamini	[51] [52] [60]
34	E. Ke Tang	[31] [35] [39] [43] [46] [50] [52] [68]
35	Mehmet Fatih Tasgetiren	[53] [56] [59] [63] [65]
36	C. H. Tay	[49]
37	Eam Khwang Teoh	[1] [2] [3] [4] [5] [6] [9]
38	T. Aruldoss Albert Victoire	[54] [67]
39	Hong Yan	[6] [7]
40	Xin Yao	[31] [35] [39] [43] [46]
41	Ling Yu	[66]
42	Shizheng Zhao	[63]
43	Qin-Yu Zhu	[36]

Colors in the list of coauthors