Ponnuthurai N. Suganthan

332 papers A* 4A 4B 74C 12Misc 2Journal 191Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hybrid training of deep neural networks with multiple output layers for tabular data classification. Pattern Recognit. Mohamed Hamdy, Abdulaziz Alali, Ponnuthurai N. Suganthan, Hussein A. Aly
2026	J	`jnl`	Multimodal fusion and explainability of artificial intelligence models in Alzheimer's Disease detection. Brain Informatics Vimbi Viswan, Noushath Shaffi, Malathy Emperuman, Chemmalar Selvi G., B. R. Kavitha, Abdelhamid Abdesselam, Shuqiang Wang, Ponnuthurai N. Suganthan, Ibrahim Al Shezawi, Mufti Mahmud
2026	J	`jnl`	Shallow and ensemble deep randomized neural network for anomaly detection. Neural Networks Anuradha Kumari, Ashwani Kumar Malik, M. Tanveer, Ponnuthurai N. Suganthan
2026	J	`jnl`	Towards robust and inversion-free randomized neural networks: The XG-RVFL framework. Pattern Recognit. Mushir Akhtar, Anuradha Kumari, M. Sajid, Abdul Quadir, Mohd. Arshad, Ponnuthurai N. Suganthan, Muhammad Tanveer
2025	J	`jnl`	A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems. IEEE Trans. Consumer Electron. Faria Nawshin, Devrim Unal, Mohammad Hammoudeh, Ponnuthurai N. Suganthan
2025	J	`jnl`	A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework. Swarm Evol. Comput. Peng Chen, Jing J. Liang, Kangjia Qiao, Xuanxuan Ban, Ponnuthurai N. Suganthan, Hongyu Lin, Jilong Zhang
2025	J	`jnl`	Alzheimer's disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier. Inf. Fusion Tripti Goel, Shradha Verma, Muhammad Tanveer, Ponnuthurai N. Suganthan
2025	J	`jnl`	Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning. CoRR Deshani Geethika Poddenige, Sachith Seneviratne, Damith A. Senanayake, Mahesan Niranjan, Ponnuthurai N. Suganthan, Saman K. Halgamuge
2025	J	`jnl`	Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics. Eng. Appl. Artif. Intell. Mohamed Hamdy, Shahd Gaben, Abdullah Al-Saadi, Abdulaziz Al-Ali, Majeda Khraisheh, Fares Almomani, Ponnuthurai N. Suganthan
2025	J	`jnl`	Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System. IEEE Trans. Fuzzy Syst. M. Sajid, M. Tanveer, Ponnuthurai N. Suganthan
2025	J	`jnl`	Learning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis. CoRR Dikshit Chauhan, Shivani, Ponnuthurai N. Suganthan
2025	J	`jnl`	Learning strategies for particle swarm optimizer: A critical review and performance analysis. Swarm Evol. Comput. Dikshit Chauhan, Shivani, Ponnuthurai N. Suganthan
2025	J	`jnl`	Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. CoRR Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2025	J	`jnl`	Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier. IEEE J. Biomed. Health Informatics Tripti Goel, Rahul Sharma, M. Tanveer, Ponnuthurai N. Suganthan, Krishanu Maji, Raveendra Pilli
2025	—	`conf`	Overcoming Class Imbalance in Protein-Protein Interaction and Isozyme Prediction: GAN-Based Augmentation in a Transformer-GNN Framework. FLLM Raghad J. AbuNasser, Gina R. Maayah, Yaser Jararweh, Mostafa Z. Ali, Ghina'a Abu Deiab, Robert G. Reynolds, Talal Z. Ali, Ponnuthurai N. Suganthan
2025	B	`conf`	R IJCNN Anuradha Kumari, Mushir Akhtar, Ponnuthurai N. Suganthan, Muhammad Tanveer
2025	J	`jnl`	Reinforcement Learning Assisting Artificial Bee Colony Algorithm for Scheduling Distributed Assembly Flowshops With Batch Delivery. IEEE Trans. Syst. Man Cybern. Syst. Dachao Li, Kaizhou Gao, Peiyong Duan, Ponnuthurai N. Suganthan, Naiqi Wu
2025	J	`jnl`	Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art. IEEE Trans. Instrum. Meas. Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
2025	B	`conf`	l1 Regularization Based Random Vector Functional Link Network for Alzheimer's Disease Diagnosis. IJCNN Tripti Goel, Raveendra Pilli, Shradha Verma, Muhammad Tanveer, R. Murugan, Ponnuthurai N. Suganthan
2024	B	`conf`	A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems. IEEE Big Data Faria Nawshin, Devrim Unal, Ponnuthurai N. Suganthan
2024	J	`jnl`	A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. CoRR Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2024	J	`jnl`	AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks. Ad Hoc Networks Faria Nawshin, Devrim Unal, Mohammad Hammoudeh, Ponnuthurai N. Suganthan
2024	J	`jnl`	Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. IEEE Trans. Comput. Soc. Syst. Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan
2024	J	`jnl`	An archive-assisted multi-modal multi-objective evolutionary algorithm. Swarm Evol. Comput. Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang
2024	—	`conf`	Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection. AICCONF Faria Nawshin, Romain Arnal, Devrim Unal, Ponnuthurai N. Suganthan, Lionel Touseau
2024	J	`jnl`	Benchmark problems for large-scale constrained multi-objective optimization with baseline results. Swarm Evol. Comput. Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan
2024	A*	`conf`	Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2024	J	`jnl`	Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2024	J	`jnl`	Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. Swarm Evol. Comput. Oladayo S. Ajani, Dzeuban Fenyom Ivan, Daison Darlan, Ponnuthurai N. Suganthan, Kaizhou Gao, Rammohan Mallipeddi
2024	J	`jnl`	Enhanced Feature Based Granular Ball Twin Support Vector Machine. CoRR Abdul Quadir, M. Sajid, Mushir Akhtar, M. Tanveer, Ponnuthurai N. Suganthan
2024	J	`jnl`	Extended Features Based Random Vector Functional Link Network for Classification Problem. IEEE Trans. Comput. Soc. Syst. Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan
2024	J	`jnl`	Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation. IEEE Trans. Cogn. Dev. Syst. Raveendra Pilli, Tripti Goel, R. Murugan, Muhammad Tanveer, Ponnuthurai N. Suganthan
2024	J	`jnl`	Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. Inf. Sci. Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan
2024	J	`jnl`	Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey. Comput. Electr. Eng. Faria Nawshin, Radwa Gad, Devrim Unal, Abdulla Khalid Al-Ali, Ponnuthurai N. Suganthan
2024	J	`jnl`	Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems. IEEE Trans. Fuzzy Syst. M. Sajid, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan
2024	B	`conf`	Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. IJCNN Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
2024	J	`jnl`	Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics. IEEE Trans. Syst. Man Cybern. Syst. Hui Yu, Kaizhou Gao, Naiqi Wu, MengChu Zhou, Ponnuthurai N. Suganthan, Shouguang Wang
2024	J	`jnl`	TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
2024	J	`jnl`	Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
2023	B	`conf`	3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. CEC Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds
2023	J	`jnl`	A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching. CoRR Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, Ponnuthurai N. Suganthan, Yanjie Song
2023	J	`jnl`	A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks. Clust. Comput. Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Mohammad I. Daoud, Rami Alazrai, Ponnuthurai N. Suganthan, Talal Z. Ali
2023	J	`jnl`	A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization. Appl. Soft Comput. Mostafa Z. Ali, Heba Abdel-Nabi, Rami Alazrai, Bushra Alhijawi, Mazen G. AlWadi, Amer F. Al-Badarneh, Ponnuthurai N. Suganthan, Mohammad I. Daoud, Robert G. Reynolds
2023	J	`jnl`	A spectral-ensemble deep random vector functional link network for passive brain-computer interface. Expert Syst. Appl. Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan, Jian Cui, Olga Sourina, Lipo Wang
2023	J	`jnl`	An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Eng. Appl. Artif. Intell. Ruilin Li, Ruobin Gao, Liqiang Yuan, Ponnuthurai N. Suganthan, Lipo Wang, Olga Sourina
2023	J	`jnl`	An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization. Inf. Sci. Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan
2023	J	`jnl`	Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan
2023	J	`jnl`	Dual population approximate constrained Pareto front for constrained multiobjective optimization. Inf. Sci. Jinlong Zhou, Yinggui Zhang, Ponnuthurai N. Suganthan
2023	J	`jnl`	Ensemble Reinforcement Learning: A Survey. CoRR Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen
2023	J	`jnl`	Heterogeneous Oblique Double Random Forest. CoRR M. A. Ganaie, Muhammad Tanveer, Iman Beheshti, Nehal Ahmad, Ponnuthurai N. Suganthan
2023	J	`jnl`	Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen
2023	J	`jnl`	Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi
2023	J	`jnl`	Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai N. Suganthan, Yue Zhang, Witold Pedrycz, Yingwu Chen, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani
2023	J	`jnl`	Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests. Swarm Evol. Comput. Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan
2023	A*	`conf`	Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan
2023	B	`conf`	Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. IJCNN Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan
2022	J	`jnl`	A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance. CoRR Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
2022	J	`jnl`	A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem. IEEE Trans Autom. Sci. Eng. Jun-qing Li, Yu Du, Kai-Zhou Gao, Pei-Yong Duan, Dun-Wei Gong, Quan-Ke Pan, Ponnuthurai N. Suganthan
2022	—	`conf`	Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition. SSCI Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina
2022	B	`conf`	An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization. CEC Heba Abdel-Nabi, Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, Arafat Awajan, Robert G. Reynolds, Ponnuthurai N. Suganthan
2022	J	`jnl`	Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer
2022	B	`conf`	Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. IJCNN Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan
2022	J	`jnl`	Differential evolution with orthogonal array-based initialization and a novel selection strategy. Swarm Evol. Comput. Abhishek Kumar, Partha P. Biswas, Ponnuthurai N. Suganthan
2022	—	`conf`	Echo state neural network based ensemble deep learning for short-term load forecasting. SSCI Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer
2022	J	`jnl`	Ensemble deep learning: A review. Eng. Appl. Artif. Intell. M. A. Ganaie, Minghui Hu, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan
2022	J	`jnl`	Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future. Swarm Evol. Comput. Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan
2022	J	`jnl`	Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? Appl. Soft Comput. Minghui Hu, Ponnuthurai N. Suganthan
2022	A*	`conf`	Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CVPR Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan
2022	J	`jnl`	Incremental Knowledge Tracing from Multiple Schools. CoRR Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong
2022	J	`jnl`	Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning. IEEE J. Biomed. Health Informatics Ruobin Gao, Wen Xin Cheng, Ponnuthurai N. Suganthan, Kum Fai Yuen
2022	J	`jnl`	Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications. CoRR Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge
2022	B	`conf`	Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. IJCNN M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan
2022	J	`jnl`	Oblique and rotation double random forest. Neural Networks M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel
2022	J	`jnl`	Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms. CoRR Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan, Aijuan Song, Qizhang Luo
2022	J	`jnl`	Random vector functional link network: recent developments, applications, and future directions. CoRR Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2022	J	`jnl`	Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. Parul Arora, Abbas Khosravi, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan
2022	J	`jnl`	Representation learning using deep random vector functional link networks for clustering. Pattern Recognit. Minghui Hu, Ponnuthurai N. Suganthan
2022	J	`jnl`	Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics. IEEE J. Biomed. Health Informatics Ruilin Li, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
2022	C	`conf`	Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study. CW Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen
2022	—	`conf`	Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. ICONIP (1) Ashwani Kumar Malik, Mudasir Ahmad Ganaie, M. Tanveer, Ponnuthurai N. Suganthan
2022	J	`jnl`	Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers. CoRR Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan
2022	J	`jnl`	Unified Discrete Diffusion for Simultaneous Vision-Language Generation. CoRR Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
2021	B	`conf`	A Novel Ensemble Method of RVFL For Classification Problem. IJCNN Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2021	J	`jnl`	A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2021	J	`jnl`	An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Comput. Ind. Eng. Ying-ying Huang, Quan-Ke Pan, Jiang-Ping Huang, Ponnuthurai N. Suganthan, Liang Gao
2021	B	`conf`	Co-Trained Random Vector Functional Link Network. IJCNN M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2021	J	`jnl`	Differential evolution using improved crowding distance for multimodal multiobjective optimization. Swarm Evol. Comput. Caitong Yue, Ponnuthurai N. Suganthan, Jing J. Liang, Boyang Qu, Kunjie Yu, Yongsheng Zhu, Li Yan
2021	J	`jnl`	Ensemble deep learning: A review. CoRR Mudasir Ahmad Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan
2021	J	`jnl`	Ensemble of classification models with weighted functional link network. Appl. Soft Comput. Mohammad Tanveer, M. A. Ganaie, Ponnuthurai N. Suganthan
2021	J	`jnl`	Evolutionary Multitask Optimization: Are we Moving in the Right Direction? CoRR Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan
2021	J	`jnl`	Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CoRR Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan
2021	B	`conf`	Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. DCOSS Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan
2021	J	`jnl`	Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. CoRR Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan
2021	J	`jnl`	Least squares KNN-based weighted multiclass twin SVM. Neurocomputing Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan
2021	J	`jnl`	Oblique and rotation double random forest. CoRR Mudasir Ahmad Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel
2021	J	`jnl`	On the origins of randomization-based feedforward neural networks. Appl. Soft Comput. Ponnuthurai N. Suganthan, Rakesh Katuwal
2021	J	`jnl`	Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network. Neural Comput. Appl. Partha P. Biswas, Parul Arora, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Bijaya K. Panigrahi
2021	J	`jnl`	Random vector functional link neural network based ensemble deep learning for short-term load forecasting. CoRR Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen
2021	J	`jnl`	Random vector functional link neural network based ensemble deep learning. Pattern Recognit. Qiushi Shi, Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer
2021	J	`jnl`	Real-parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes. Inf. Sci. Rami S. Al-Gharaibeh, Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, Heba Abdel-Nabi, Safaa Fawzey Hriez, Ponnuthurai N. Suganthan
2021	B	`conf`	Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
2021	J	`jnl`	Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features. Appl. Soft Comput. Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal
2020	B	`conf`	A Differential Evolution Algorithm with Q-Learning for Solving Engineering Design Problems. CEC Damla Kizilay, Mehmet Fatih Tasgetiren, Hande Öztop, Levent Kandiller, Ponnuthurai N. Suganthan
2020	J	`jnl`	A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing. Swarm Evol. Comput. Kai-Zhou Gao, Z. M. He, Y. Huang, Pei-Yong Duan, Ponnuthurai N. Suganthan
2020	—	`conf`	Adaptive Ensemble Variants of Random Vector Functional Link Networks. ICONIP (5) Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer
2020	J	`jnl`	Heterogeneous oblique random forest. Pattern Recognit. Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang
2020	B	`conf`	Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems. CEC Partha P. Biswas, Ponnuthurai N. Suganthan
2020	B	`conf`	MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. CEC Caitong Yue, Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, Kunjie Yu, S. Liu
2020	—	`conf`	Minimum Variance Embedded Random Vector Functional Link Network. ICONIP (5) M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2020	J	`jnl`	Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms. Soft Comput. Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga
2020	J	`jnl`	Oblique Decision Tree Ensemble via Twin Bounded SVM. Expert Syst. Appl. M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2020	—	`conf`	Oblique Random Forests on Residual Network Features. ICONIP (3) Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal
2020	B	`conf`	Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. IJCNN M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2019	J	`jnl`	An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators. Appl. Soft Comput. Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2019	J	`jnl`	Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times. Knowl. Based Syst. Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan
2019	J	`jnl`	Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2019	—	`conf`	Classification of Stock Market Trends with Confidence-Based Selective Predictions. SEMCCO/FANCCO Wen Xin Cheng, Ponnuthurai N. Suganthan, Xueheng Qiu, Rakesh Katuwal
2019	J	`jnl`	Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen
2019	J	`jnl`	Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan
2019	—	`ch.`	Evolutionary Computation for Theatre Hall Acoustics. Optimization in Industry Cemre Cubukcuoglu, Ayca Kirimtat, Berk Ekici, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan
2019	J	`jnl`	General twin support vector machine with pinball loss function. Inf. Sci. Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan
2019	J	`jnl`	Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach. Appl. Soft Comput. Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga
2019	J	`jnl`	Random Vector Functional Link Neural Network based Ensemble Deep Learning. CoRR Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer
2019	J	`jnl`	Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method. Nat. Comput. Boyang Qu, Jing J. Liang, Yongsheng Zhu, Ponnuthurai N. Suganthan
2019	J	`jnl`	Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. CoRR Rakesh Katuwal, Ponnuthurai N. Suganthan
2019	J	`jnl`	Stacked autoencoder based deep random vector functional link neural network for classification. Appl. Soft Comput. Rakesh Katuwal, Ponnuthurai N. Suganthan
2018	J	`jnl`	A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization. Inf. Sci. Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds, Ponnuthurai N. Suganthan
2018	J	`jnl`	A hybrid cuckoo search algorithm in parallel batch processing machines with unequal job ready times. Comput. Ind. Eng. Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan
2018	J	`jnl`	A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. Swarm Evol. Comput. Bo-Yang Qu, Yongsheng Zhu, Yuechao Jiao, M. Y. Wu, Ponnuthurai N. Suganthan, Jing J. Liang
2018	J	`jnl`	An ensemble of decision trees with random vector functional link networks for multi-class classification. Appl. Soft Comput. Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang
2018	J	`jnl`	An improved class of real-coded Genetic Algorithms for numerical optimization Neurocomputing Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Ali M. Shatnawi, Robert G. Reynolds
2018	J	`jnl`	An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization. Inf. Sci. Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2018	B	`conf`	Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application. CEC Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan
2018	B	`conf`	Distribution Network Reconfiguration Together with Distributed Generator and Shunt Capacitor Allocation for Loss Minimization. CEC Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2018	—	`conf`	Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network. SSCI Rakesh Katuwal, Ponnuthurai N. Suganthan
2018	B	`conf`	Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. IJCNN Rakesh Katuwal, Ponnuthurai N. Suganthan
2018	J	`jnl`	Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. CoRR Rakesh Katuwal, Ponnuthurai N. Suganthan
2018	—	`conf`	Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting. SSCI Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2018	J	`jnl`	Ensemble of differential evolution variants. Inf. Sci. Guohua Wu, Xin Shen, Haifeng Li, Huangke Chen, Anping Lin, Ponnuthurai N. Suganthan
2018	J	`jnl`	Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction. Swarm Evol. Comput. Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan
2018	B	`conf`	Optimal Power Flow Solutions Using Algorithm Success History Based Adaptive Differential Evolution with Linear Population Reduction. SMC Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2018	J	`jnl`	Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques. Eng. Appl. Artif. Intell. Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga
2018	J	`jnl`	Preface special issue on non-iterative approaches in learning. Appl. Soft Comput. Ponnuthurai N. Suganthan, Sushmita Mitra, Ivan Tyukin
2017	—	`conf`	A heterogeneous ensemble of trees. SSCI Wen Xin Cheng, Rakesh Katuwal, Ponnuthurai N. Suganthan, Xueheng Qiu
2017	J	`jnl`	A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint. Soft Comput. Shyam Sundar, Ponnuthurai N. Suganthan, Tay Jin Chua, Tian Xiang Cai, Chong Chin Soon
2017	J	`jnl`	A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network. Appl. Soft Comput. Partha P. Biswas, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	B	`conf`	A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi
2017	Misc	`conf`	An Ensemble of Kernel Ridge Regression for Multi-class Classification. ICCS Katuwal Rakesh, Ponnuthurai N. Suganthan
2017	J	`jnl`	CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization. Inf. Sci. Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds
2017	J	`jnl`	Computing with the collective intelligence of honey bees - A survey. Swarm Evol. Comput. Anguluri Rajasekhar, Nandar Lynn, Swagatam Das, Ponnuthurai N. Suganthan
2017	B	`conf`	Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan
2017	J	`jnl`	Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion. Comput. Oper. Res. Mehmet Fatih Tasgetiren, Damla Kizilay, Quan-Ke Pan, Ponnuthurai N. Suganthan
2017	B	`conf`	Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. CEC Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga
2017	J	`jnl`	Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution. Appl. Soft Comput. Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	B	`conf`	Optimal placement of wind turbines in a windfarm using L-SHADE algorithm. CEC Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	—	`conf`	Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution. SSCI Partha P. Biswas, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	Misc	`conf`	Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines. ICCS Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	—	`conf`	Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques. SSCI Xueheng Qiu, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	—	`conf`	Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble \nu -Support Vector Regression Model. CICBA (1) Xueheng Qiu, Huilin Zhu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2017	J	`jnl`	Using variable reduction strategy to accelerate evolutionary optimization. Appl. Soft Comput. Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Haifeng Li
2016	J	`jnl`	A comprehensive evaluation of random vector functional link networks. Inf. Sci. Le Zhang, Ponnuthurai N. Suganthan
2016	J	`jnl`	A decremental stochastic fractal differential evolution for global numerical optimization. Inf. Sci. Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser
2016	J	`jnl`	A modified cultural algorithm with a balanced performance for the differential evolution frameworks. Knowl. Based Syst. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Robert G. Reynolds
2016	J	`jnl`	A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization. Inf. Sci. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Rehab M. Duwairi, Robert G. Reynolds
2016	J	`jnl`	A survey of randomized algorithms for training neural networks. Inf. Sci. Le Zhang, Ponnuthurai N. Suganthan
2016	B	`conf`	An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization. CEC Mert Paldrak, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan
2016	B	`conf`	An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds
2016	B	`conf`	Differential evolution with stochastic fractal search algorithm for global numerical optimization. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser
2016	J	`jnl`	Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives. J. Intell. Manuf. Kai-Zhou Gao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong
2016	J	`jnl`	Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. Inf. Sci. Bo-Yang Qu, Jing J. Liang, Yongsheng Zhu, Z. Y. Wang, Ponnuthurai N. Suganthan
2016	B	`conf`	Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network. SMC Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2016	J	`jnl`	Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]. IEEE Comput. Intell. Mag. Ye Ren, Le Zhang, Ponnuthurai N. Suganthan
2016	J	`jnl`	Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. Sheldon Hui, Ponnuthurai N. Suganthan
2016	J	`jnl`	Leveraged Neighborhood Restructuring in Cultural Algorithms for Solving Real-World Numerical Optimization Problems. IEEE Trans. Evol. Comput. Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Amer F. Al-Badarneh
2016	B	`conf`	Multi-objective harmony search algorithm for layout design in theatre hall acoustics. CEC Cemre Cubukcuoglu, Ayca Kirimtat, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan
2016	J	`jnl`	Novel benchmark functions for continuous multimodal optimization with comparative results. Swarm Evol. Comput. Bo-Yang Qu, Jing J. Liang, Z. Y. Wang, Qin Chen, Ponnuthurai N. Suganthan
2016	—	`conf`	Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm. SocProS (2) Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2016	J	`jnl`	Random vector functional link network for short-term electricity load demand forecasting. Inf. Sci. Ye Ren, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Gehan A. J. Amaratunga
2016	J	`jnl`	Recent advances in differential evolution - An updated survey. Swarm Evol. Comput. Swagatam Das, Sankha Subhra Mullick, Ponnuthurai N. Suganthan
2015	J	`jnl`	A variable reduction strategy for evolutionary algorithms handling equality constraints. Appl. Soft Comput. Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Rammohan Mallipeddi
2015	B	`conf`	Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization. CEC Mostafa Z. Ali, Noor H. Awad, Rehab Duwairi, Jafar Albadarneh, Robert G. Reynolds, Ponnuthurai N. Suganthan
2015	—	`conf`	Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network. SSCI Ye Ren, Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2015	J	`jnl`	Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization". Inf. Sci. Xiaodong Li, Ke Tang, Ponnuthurai N. Suganthan, Zhenyu Yang
2015	J	`jnl`	Modeling of steelmaking process with effective machine learning techniques. Expert Syst. Appl. Dipak Laha, Ren Ye, Ponnuthurai N. Suganthan
2015	J	`jnl`	Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization. Appl. Soft Comput. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan
2015	J	`jnl`	Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine. IEEE Trans. Cybern. Le Zhang, Ponnuthurai N. Suganthan
2014	J	`jnl`	Achieving high robustness and performance in QoS-aware route planning for IPTV networks. Inf. Sci. Gajaruban Kandavanam, Rammohan Mallipeddi, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan
2014	B	`conf`	Cultural Algorithms applied to the evolution of robotic soccer team tactics: A novel perspective. IEEE Congress on Evolutionary Computation Mostafa Z. Ali, Abdulmalik Morghem, Jafar Albadarneh, Rami S. Al-Gharaibeh, Ponnuthurai N. Suganthan, Robert G. Reynolds
2014	—	`conf`	Ensemble deep learning for regression and time series forecasting. CIEL Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga
2014	J	`jnl`	Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling. Inf. Sci. Kai-Zhou Gao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong
2014	J	`jnl`	Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm. Knowl. Based Syst. Junqing Li, Quan-Ke Pan, Kun Mao, Ponnuthurai N. Suganthan
2014	B	`conf`	Towards generating random forests via extremely randomized trees. IJCNN Le Zhang, Ye Ren, Ponnuthurai N. Suganthan
2013	—	`ed.`	2013 IEEE Symposium on Differential Evolution, SDE 2013, Singapore, Singapore, April 16-19, 2013 SDE Janez Brest, Swagatam Das, Ferrante Neri, Ponnuthurai N. Suganthan
2013	—	`conf`	A Swarm Intelligence Approach to Flexible Job-Shop Scheduling Problem with No-Wait Constraint in Remanufacturing. ICAISC (2) Shyam Sundar, Ponnuthurai N. Suganthan, Tay Jin Chua
2013	B	`conf`	A hybrid ARIMA-DENFIS method for wind speed forecasting. FUZZ-IEEE Ren Ye, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Soham Sarkar
2013	J	`jnl`	A variable iterated greedy algorithm with differential evolution for the no-idle permutation flowshop scheduling problem. Comput. Oper. Res. Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Ozge Buyukdagli
2013	B	`conf`	Adaptive Differential Evolution with Locality based Crossover for Dynamic Optimization. IEEE Congress on Evolutionary Computation Rohan Mukherjee, Shantanab Debchoudhury, Rupam Kundu, Swagatam Das, Ponnuthurai N. Suganthan
2013	—	`conf`	An enhanced migrating birds optimization algorithm for no-wait flow shop scheduling problem. CISched Kai-Zhou Gao, Ponnuthurai N. Suganthan, Tay Jin Chua
2013	—	`conf`	Comprehensive learning particle swarm optimizer with guidance vector selection. SIS Nandar Lynn, Ponnuthurai N. Suganthan
2013	J	`jnl`	Conference Report for 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013) [Conference Reports]. IEEE Comput. Intell. Mag. Ponnuthurai N. Suganthan
2013	A	`conf`	Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization. GECCO Souvik Kundu, Subhodip Biswas, Swagatam Das, Ponnuthurai N. Suganthan
2013	—	`conf`	Differential evolution: recent advances. GECCO (Companion) Ponnuthurai N. Suganthan
2013	B	`conf`	Improved CMA-ES with Memory based Directed Individual Generation for Real Parameter Optimization. IEEE Congress on Evolutionary Computation Rupam Kundu, Rohan Mukherjee, Shantanab Debchoudhury, Swagatam Das, Ponnuthurai N. Suganthan, Thanos Vasilakos
2013	—	`conf`	Instance based random forest with rotated feature space. CIEL Le Zhang, Ye Ren, Ponnuthurai N. Suganthan
2013	—	`conf`	K-nearest neighbor based bagging SVM pruning. CIEL Ren Ye, Le Zhang, Ponnuthurai N. Suganthan
2013	—	`conf`	Migrating forager population in a multi-population Artificial Bee Colony algorithm with modified perturbation schemes. SIS Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, Ponnuthurai N. Suganthan, Bijaya K. Panigrahi
2013	J	`jnl`	Risk minimization in biometric sensor networks: an evolutionary multi-objective optimization approach. Soft Comput. Soumyadip Sengupta, Swagatam Das, Md. Nasir, Ponnuthurai N. Suganthan
2012	J	`jnl`	A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. Inf. Sci. Saurav Ghosh, Swagatam Das, Subhrajit Roy, Sk. Minhazul Islam, Ponnuthurai N. Suganthan
2012	—	`conf`	A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing. SOCO Srinjoy Ganguly, Arkabandhu Chowdhury, Swahum Mukherjee, Ponnuthurai N. Suganthan, Swagatam Das, Tay Jin Chua
2012	—	`conf`	A Variable Iterated Greedy Algorithm with Differential Evolution for Solving No-Idle Flowshops. ICAISC (SIDE-EC) Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Ozge Buyukdagli
2012	B	`conf`	A composite heuristic for the no-wait flow shop scheduling. IEEE Congress on Evolutionary Computation Kaizhou Gao, Ponnuthurai N. Suganthan, Zhenqiang Bao
2012	J	`jnl`	A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization. Inf. Sci. Md. Nasir, Swagatam Das, Dipankar Maity, Soumyadip Sengupta, Udit Halder, Ponnuthurai N. Suganthan
2012	C	`conf`	A kernel-ensemble bagging support vector machine. ISDA Ren Ye, Ponnuthurai N. Suganthan
2012	B	`conf`	An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network. IEEE Congress on Evolutionary Computation Md. Nasir, Soumyadip Sengupta, Swagatam Das, Ponnuthurai N. Suganthan
2012	B	`conf`	Design of Fractional Order Controller for a servohydraulic positioning system with micro Artificial Bee Colony algorithm. IEEE Congress on Evolutionary Computation Anguluri Rajasekhar, Swagatam Das, Ponnuthurai N. Suganthan
2012	B	`conf`	Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. IEEE Congress on Evolutionary Computation Jing J. Liang, Bo-Yang Qu, Ponnuthurai N. Suganthan, Ben Niu
2012	J	`jnl`	Efficient constraint handling for optimal reactive power dispatch problems. Swarm Evol. Comput. Rammohan Mallipeddi, S. Jeyadevi, Ponnuthurai N. Suganthan, S. Baskar
2012	C	`conf`	Empirical comparison of bagging-based ensemble classifiers. FUSION Ren Ye, Ponnuthurai N. Suganthan
2012	J	`jnl`	Niching particle swarm optimization with local search for multi-modal optimization. Inf. Sci. Bo-Yang Qu, Jing J. Liang, Ponnuthurai N. Suganthan
2012	—	`conf`	Solving Fuzzy Job-Shop Scheduling Problem by a Hybrid PSO Algorithm. ICAISC (SIDE-EC) Junqing Li, Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren
2011	J	`jnl`	A differential evolution algorithm with self-adapting strategy and control parameters. Comput. Oper. Res. Quan-Ke Pan, Ponnuthurai N. Suganthan, Ling Wang, Liang Gao, Rammohan Mallipeddi
2011	J	`jnl`	A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem. Inf. Sci. Quan-Ke Pan, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Tay Jin Chua
2011	J	`jnl`	A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops. Inf. Sci. Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Angela Hsiang-Ling Chen
2011	J	`jnl`	A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem. Expert Syst. Appl. Quan-Ke Pan, Ponnuthurai N. Suganthan, Jing J. Liang, Mehmet Fatih Tasgetiren
2011	J	`jnl`	Constrained self-adaptive differential evolution based design of robust optimal fixed structure controller. Eng. Appl. Artif. Intell. S. Sivananaithaperumal, S. Miruna Joe Amali, S. Baskar, Ponnuthurai N. Suganthan
2011	J	`jnl`	Differential evolution algorithm with ensemble of parameters and mutation strategies. Appl. Soft Comput. Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren
2011	J	`jnl`	Dynamic multi-swarm particle swarm optimizer with harmony search. Expert Syst. Appl. Shi-Zheng Zhao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren
2011	J	`jnl`	Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization. Inf. Sci. Shi-Zheng Zhao, M. Willjuice Iruthayarajan, S. Baskar, Ponnuthurai N. Suganthan
2010	—	`conf`	A Novel Support Vector Machine Approach to High Entropy Data Fragment Classification. SAISMC Qiming Li, Alvin Ong, Ponnuthurai N. Suganthan, Vrizlynn L. L. Thing
2010	J	`jnl`	A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems. Comput. Oper. Res. Ling Wang, Quan-Ke Pan, Ponnuthurai N. Suganthan, Wenhong Wang, Ya-Min Wang
2010	J	`jnl`	A self-adaptive global best harmony search algorithm for continuous optimization problems. Appl. Math. Comput. Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren, Jing J. Liang
2010	J	`jnl`	An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem. Appl. Math. Comput. Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan
2010	J	`jnl`	Ensemble of Constraint Handling Techniques. IEEE Trans. Evol. Comput. Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2010	J	`jnl`	Ensemble of niching algorithms. Inf. Sci. E. L. Yu, Ponnuthurai N. Suganthan
2010	J	`jnl`	Ensemble strategies with adaptive evolutionary programming. Inf. Sci. Rammohan Mallipeddi, S. Mallipeddi, Ponnuthurai N. Suganthan
2010	J	`jnl`	Identification and analysis of transcription factor family-specific features derived from DNA and protein information. Pattern Recognit. Lett. Ashish Anand, Ganesan Pugalenthi, Gary B. Fogel, Ponnuthurai N. Suganthan
2010	C	`conf`	Multi objective evolutionary programming to solve environmental economic dispatch problem. ICARCV Bo-Yang Qu, Ponnuthurai N. Suganthan, V. Ravikumar Pandi, Bijaya K. Panigrahi
2010	J	`jnl`	Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection. Inf. Sci. Bo-Yang Qu, Ponnuthurai N. Suganthan
2010	—	`conf`	Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach. SEAL Siddharth Pal, Aniruddha Basak, Swagatam Das, Ponnuthurai N. Suganthan
2009	B	`conf`	A Harmony Search Algorithm with Ensemble of Parameter Sets. IEEE Congress on Evolutionary Computation Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren
2009	B	`conf`	A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization. IEEE Congress on Evolutionary Computation Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Yun-Chia Liang
2009	J	`jnl`	Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization. IEEE Trans. Evol. Comput. A. K. Qin, Vicky Ling Huang, Ponnuthurai N. Suganthan
2009	B	`conf`	Differential Evolution Algorithms for the Generalized Assignment problem. IEEE Congress on Evolutionary Computation Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Tay Jin Chua, Mohammed Abdullah Al-Hajri
2009	B	`conf`	Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems. IEEE Congress on Evolutionary Computation Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Bo-Yang Qu
2009	B	`conf`	Diversity enhanced particle swarm optimizer for global optimization of multimodal problems. IEEE Congress on Evolutionary Computation Shuguang Zhao, Ponnuthurai N. Suganthan
2009	B	`conf`	Evolutionary programming with ensemble of explicit memories for dynamic optimization. IEEE Congress on Evolutionary Computation Ling Yu, Ponnuthurai N. Suganthan
2009	J	`jnl`	Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble. Bioinform. Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Suganthan, Saikat Chakrabarti
2009	B	`conf`	Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster. IEEE Congress on Evolutionary Computation Bo-Yang Qu, Ponnuthurai N. Suganthan
2009	B	`conf`	Multi-objective optimization using self-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2008	B	`conf`	Differential evolution and Evolutionary Programming for solving non-convex economic dispatch problems. IEEE Congress on Evolutionary Computation T. Aruldoss Albert Victoire, Ponnuthurai N. Suganthan
2008	B	`conf`	Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization. IEEE Congress on Evolutionary Computation Shi-Zheng Zhao, Jing J. Liang, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren
2008	B	`conf`	Empirical comparison of niching methods on hybrid composition functions. IEEE Congress on Evolutionary Computation Ling Yu, Ponnuthurai N. Suganthan
2008	B	`conf`	Empirical study on the effect of population size on Differential evolution Algorithm. IEEE Congress on Evolutionary Computation Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2008	B	`conf`	Evaluation of novel adaptive evolutionary programming on four constraint handling techniques. IEEE Congress on Evolutionary Computation Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2008	J	`jnl`	MegaMotifBase: a database of structural motifs in protein families and superfamilies. Nucleic Acids Res. Ganesan Pugalenthi, Ponnuthurai N. Suganthan, Ramanathan Sowdhamini, Saikat Chakrabarti
2008	—	`conf`	Prediction of Transcription Factor Families Using DNA Sequence Features. PRIB Ashish Anand, Gary B. Fogel, Ganesan Pugalenthi, Ponnuthurai N. Suganthan
2008	B	`conf`	Upper bounds on Taillard's benchmark suite for the no-wait flowshop scheduling problem with makespan criterion. IEEE Congress on Evolutionary Computation Quan-Ke Pan, Mehmet Fatih Tasgetiren, Yun-Chia Liang, Ponnuthurai N. Suganthan
2007	A	`conf`	A discrete particle swarm optimization algorithm for the generalized traveling salesman problem. GECCO Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan
2007	B	`conf`	A genetic algorithm for the generalized traveling salesman problem. IEEE Congress on Evolutionary Computation Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan, Yun-Chia Liang
2007	J	`jnl`	A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. BMC Bioinform. Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Suganthan, Govindaraju Archunan, Ramanathan Sowdhamini
2007	B	`conf`	A multi-layered solution for supporting isp traffic demand using genetic algorithm. IEEE Congress on Evolutionary Computation Gajaruban Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan, William Donnelly
2007	B	`conf`	A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. IEEE Congress on Evolutionary Computation Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb
2007	B	`conf`	Improved MOCLPSO algorithm for environmental/economic dispatch. IEEE Congress on Evolutionary Computation T. Aruldoss Albert Victoire, Ponnuthurai N. Suganthan
2007	B	`conf`	LisBON: A framework for parallelisation and hybridisation of optimisation algorithms. IEEE Congress on Evolutionary Computation C. Dürr, Tim Fühner, Ponnuthurai N. Suganthan
2007	B	`conf`	Multi-objective optimization based on self-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation Vicky Ling Huang, A. K. Qin, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren
2007	J	`jnl`	SMotif: a server for structural motifs in proteins. Bioinform. Ganesan Pugalenthi, Ponnuthurai N. Suganthan, Ramanathan Sowdhamini, Saikat Chakrabarti
2006	—	`conf`	Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning. SEAL Jing J. Liang, Ponnuthurai N. Suganthan
2006	J	`jnl`	An analysis of diversity measures. Mach. Learn. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
2006	J	`jnl`	Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. Jing J. Liang, A. K. Qin, Ponnuthurai N. Suganthan, S. Baskar
2006	J	`jnl`	Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. Int. J. Intell. Syst. Vicky Ling Huang, Ponnuthurai N. Suganthan, Jing J. Liang
2006	B	`conf`	Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism. IEEE Congress on Evolutionary Computation Jing J. Liang, Ponnuthurai N. Suganthan
2006	—	`conf`	Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. ICPR (3) A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog
2006	C	`conf`	Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. CIBCB Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan
2006	J	`jnl`	Gene selection algorithms for microarray data based on least squares support vector machine. BMC Bioinform. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
2006	J	`jnl`	Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction. Pattern Recognit. A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog
2006	C	`conf`	Genetic Algorithm for Silhouette Matching. ICARCV Y. Li, Ponnuthurai N. Suganthan, Xiang-lin Qi, Yun-jiu Wang
2006	J	`jnl`	Performance Evaluation of Multiagent Genetic Algorithm. Nat. Comput. Jing J. Liang, S. Baskar, Ponnuthurai N. Suganthan, A. K. Qin
2006	C	`conf`	Personal Identification System based on Multiple Palmprint Features. ICARCV A. K. Qin, Ponnuthurai N. Suganthan, C. H. Tay, H. S. Pa
2006	B	`conf`	Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization. IEEE Congress on Evolutionary Computation Vicky Ling Huang, A. K. Qin, Ponnuthurai N. Suganthan
2005	B	`conf`	Dynamic multi-swarm particle swarm optimizer with local search. Congress on Evolutionary Computation Jing J. Liang, Ponnuthurai N. Suganthan
2005	A*	`conf`	Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. AAAI A. K. Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog
2005	J	`jnl`	Enhanced neural gas network for prototype-based clustering. Pattern Recognit. A. K. Qin, Ponnuthurai N. Suganthan
2005	J	`jnl`	Evolutionary extreme learning machine. Pattern Recognit. Qin-Yu Zhu, A. K. Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang
2005	C	`conf`	Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization. CIBCB E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
2005	J	`jnl`	Initialization insensitive LVQ algorithm based on cost-function adaptation. Pattern Recognit. A. K. Qin, Ponnuthurai N. Suganthan
2005	J	`jnl`	Linear dimensionality reduction using relevance weighted LDA. Pattern Recognit. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao, A. K. Qin
2005	B	`conf`	Self-adaptive differential evolution algorithm for numerical optimization. Congress on Evolutionary Computation A. K. Qin, Ponnuthurai N. Suganthan
2005	J	`jnl`	Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion. Pattern Recognit. A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog
2004	—	`conf`	A Novel Kernel Prototype-Based Learning Algorithm. ICPR (4) A. K. Qin, Ponnuthurai N. Suganthan
2004	—	`conf`	A new generalized LVQ algorithm via harmonic to minimum distance measure transition. SMC (5) A. K. Qin, Ponnuthurai N. Suganthan, Jing J. Liang
2004	J	`jnl`	An Accumulation Algorithm for Video Shot Boundary Detection. Multim. Tools Appl. T. Lu, Ponnuthurai N. Suganthan
2004	B	`conf`	Concurrent PSO and FDR-PSO based reconfigurable phase-differentiated antenna array design. IEEE Congress on Evolutionary Computation S. Baskar, A. Alphones, Ponnuthurai N. Suganthan
2004	B	`conf`	Evaluation of Comprehensive Learning Particle Swarm Optimizer. ICONIP Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
2004	B	`conf`	Generalized LDA using relevance weighting and evolution strategy. IEEE Congress on Evolutionary Computation E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
2004	—	`conf`	Kernel Neural Gas Algorithms with Application to Cluster Analysis. ICPR (4) A. K. Qin, Ponnuthurai N. Suganthan
2004	C	`conf`	Multiclass protein fold recognition using multiobjective evolutionary algorithms. CIBCB Stanley Y. M. Shi, Ponnuthurai N. Suganthan, Kalyanmoy Deb
2004	B	`conf`	Nonlinear Feature Extraction Using Evolutionary Algorithm. ICONIP E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
2004	—	`conf`	Particle swarm optimization algorithms with novel learning strategies. SMC (4) Jing J. Liang, A. K. Qin, Ponnuthurai N. Suganthan, S. Baskar
2004	J	`jnl`	Robust growing neural gas algorithm with application in cluster analysis. Neural Networks A. K. Qin, Ponnuthurai N. Suganthan
2003	J	`jnl`	Boosting the HONG network. Neurocomputing Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
2003	C	`conf`	Feature Analysis and Classification of Protein Secondary Structure Data. ICANN S. Y. M. Shi, Ponnuthurai N. Suganthan
2003	J	`jnl`	Structural pattern recognition using genetic algorithms with specialized operators. IEEE Trans. Syst. Man Cybern. Part B K. G. Khoo, Ponnuthurai N. Suganthan
2003	J	`jnl`	Video shot motion characterization based on hierarchical overlapped growing neural gas networks. Multim. Syst. Xiang Cao, Ponnuthurai N. Suganthan
2002	J	`jnl`	Evaluation of genetic operators and solution representations for shape recognition by genetic algorithms. Pattern Recognit. Lett. K. G. Khoo, Ponnuthurai N. Suganthan
2002	J	`jnl`	Neural Network Based Temporal Video Segmentation. Int. J. Neural Syst. Xiang Cao, Ponnuthurai N. Suganthan
2002	B	`conf`	Objective function decomposition within genetic algorithm. IEEE Congress on Evolutionary Computation K. G. Khoo, Ponnuthurai N. Suganthan
2002	J	`jnl`	Structural pattern recognition using genetic algorithms. Pattern Recognit. Ponnuthurai N. Suganthan
2001	C	`conf`	Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map. ICANN Yin Huang, Ponnuthurai N. Suganthan, Shankar M. Krishnan, Xiang Cao
2001	B	`conf`	Multiple relational graphs mapping using genetic algorithms. CEC K. G. Khoo, Ponnuthurai N. Suganthan
2001	J	`jnl`	Pattern classification using multiple hierarchical overlapped self-organising maps. Pattern Recognit. Ponnuthurai N. Suganthan
2001	—	`conf`	Shapesom. WSOM Ponnuthurai N. Suganthan
2001	C	`conf`	Video Sequence Boundary Detection Using Neural Gas Networks. ICANN Xiang Cao, Ponnuthurai N. Suganthan
2000	J	`jnl`	Hierarchical overlapped neural gas network with application to pattern classification. Neurocomputing Ajantha S. Atukorale, Ponnuthurai N. Suganthan
2000	—	`conf`	On the Performance of the HONG Network for Pattern Classification. IJCNN (2) Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
1999	A	`conf`	Combining Classifiers based on Confidence Values. ICDAR Ajantha S. Atukorale, Ponnuthurai N. Suganthan
1999	B	`conf`	Combining multiple HONG networks for recognizing unconstrained handwritten numerals. IJCNN Ajantha S. Atukorale, Ponnuthurai N. Suganthan
1999	J	`jnl`	Hierarchical overlapped SOM's for pattern classification. IEEE Trans. Neural Networks Ponnuthurai N. Suganthan
1999	J	`jnl`	Hopfield network with constraint parameter adaptation for overlapped shape recognition. IEEE Trans. Neural Networks Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1999	B	`conf`	Particle swarm optimiser with neighbourhood operator. CEC Ponnuthurai N. Suganthan
1999	B	`conf`	Solving jigsaw puzzles using Hopfield neural networks. IJCNN Ponnuthurai N. Suganthan
1998	J	`jnl`	Optimal encoding of graph homomorphism energy using fuzzy information aggregation operators. Pattern Recognit. Ponnuthurai N. Suganthan, Hong Yan, Eam Khwang Teoh, Dinesh P. Mital
1998	B	`conf`	Pattern Classification Using Multiple SOMs. ICONIP Ponnuthurai N. Suganthan, Nikhil R. Pal
1998	J	`jnl`	Recognition of handprinted Chinese characters by constrained graph matching. Image Vis. Comput. Ponnuthurai N. Suganthan, Hong Yan
1997	J	`jnl`	Optimal mapping of graph homomorphism onto self organising Hopfield network. Image Vis. Comput. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1997	—	`conf`	Structure Adaptive Multilayer SOM with Partial Supervision for Numeral Recognition. ICONIP (2) Ponnuthurai N. Suganthan
1996	—	`conf`	Handwritten Chinese character recognition by ARG matching using self-organising Hopfield neural network. ICNN Ponnuthurai N. Suganthan, Hong Yan
1995	—	`conf`	Fuzzy connectives based optimal mapping of homomorphic ARG matching onto self-organising Hopfield network. ICNN Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1995	—	`conf`	Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network. ICNN Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1995	J	`jnl`	Pattern recognition by graph matching using the Potts MFT neural networks. Pattern Recognit. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1995	J	`jnl`	Pattern recognition by homomorphic graph matching using Hopfield neural networks. Image Vis. Comput. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1995	J	`jnl`	Self-organizing Hopfield network for attributed relational graph matching. Image Vis. Comput. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
1994	A	`conf`	On Attributed Relational Graph Matching Using Hopfield Network. ECAI Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital