Ponnuthurai Nagaratnam Suganthan

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 108

Top Venues

Swarm Evol. Comput.

Appl. Soft Comput.

Inf. Sci.

IEEE Trans. Intell. Transp. Syst.

Publications

Shunshun Sun, Guojiang Xiong, Ponnuthurai Nagaratnam Suganthan
Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems. IEEE Trans. Ind. Informatics 20 (2) (2024)
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Ran Yan, Dongming Fan, Yue Zhang
Energy-Efficient Satellite Range Scheduling Using a Reinforcement Learning-Based Memetic Algorithm. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Yang Wang, Guojiang Xiong, Shengping Xu, Ponnuthurai Nagaratnam Suganthan
Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution. Swarm Evol. Comput. 89 (2024)
Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai Nagaratnam Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani, Qiang Feng
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm Evol. Comput. 86 (2024)
Jing Liang, Hongyu Lin, Caitong Yue, Ponnuthurai Nagaratnam Suganthan, Yaonan Wang
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization. IEEE CAA J. Autom. Sinica 11 (6) (2024)
Hussein Aly, Abdulaziz K. Al-Ali, Ponnuthurai Nagaratnam Suganthan
Boosted multilayer feedforward neural network with multiple output layers. Pattern Recognit. 156 (2024)
Ahmed G. Gad, Essam H. Houssein, MengChu Zhou, Ponnuthurai Nagaratnam Suganthan, Yaser Maher Wazery
Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing. IEEE Internet Things J. 11 (1) (2024)
Lou-Lei Dai, Quan-Ke Pan, Zhong-Hua Miao, Ponnuthurai Nagaratnam Suganthan, Kai-Zhou Gao
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm. IEEE Trans. Intell. Transp. Syst. 25 (6) (2024)
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Ying-Wu Chen, Yutong Wu
Ensemble reinforcement learning: A survey. Appl. Soft Comput. 149 (Part A) (2024)
Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles. CoRR (2024)
Guojiang Xiong, Zaiyu Gu, Muhammad Aliman, Houssem Rafik El-Hana Bouchekara, Ponnuthurai Nagaratnam Suganthan
Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm. Inf. Sci. 670 (2024)
Yanjie Song, Junwei Ou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Xinwei Wang, Lining Xing, Yue Zhang
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Kangjia Qiao, Jing J. Liang, Kunjie Yu, Xuanxuan Ban, Caitong Yue, Boyang Qu, Ponnuthurai Nagaratnam Suganthan
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems. IEEE CAA J. Autom. Sinica 11 (8) (2024)
Hui Yu, Kai-Zhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling. Eng. Appl. Artif. Intell. 134 (2024)
Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban
A Two-Stage Evolutionary Framework for Multi-Objective Optimization. CEC (2024)
Xuewen Luo, Ruobin Gao, Hsiao-Hwa Chen, Shuyi Chen, Qing Guo, Ponnuthurai Nagaratnam Suganthan
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion. IEEE Wirel. Commun. 31 (2) (2024)
Peng Chen, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban
A Two-stage Evolutionary Framework For Multi-objective Optimization. CoRR (2024)
Essam H. Houssein, Ahmed G. Gad, Yaser Maher Wazery, Ponnuthurai Nagaratnam Suganthan
Corrigendum to "Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends" [Swarm and Evolutionary Computation, Volume 62 (April 2021), 100841]. Swarm Evol. Comput. 89 (2024)
Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
Recurrent ensemble random vector functional link neural network for financial time series forecasting. Appl. Soft Comput. 161 (2024)
Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Inf. Fusion 102 (2024)
Jinlong Zhou, Yinggui Zhang, Juan Wang, Ponnuthurai Nagaratnam Suganthan
Localized Constrained-Domination Principle for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54 (3) (2024)
Yaxian Ren, Kaizhou Gao, Yaping Fu, Dachao Li, Ponnuthurai Nagaratnam Suganthan
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line. Appl. Soft Comput. 155 (2024)
Yaping Fu, Yifeng Wang, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Min Huang
Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm. Appl. Soft Comput. 163 (2024)
Jing Liang, Yuyang Zhang, Ke Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification. Sci. China Inf. Sci. 67 (2) (2024)
Sreenivasan Shiva, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
Online learning using deep random vector functional link network. Eng. Appl. Artif. Intell. 125 (2023)
Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles. IEEE Robotics Autom. Lett. 8 (6) (2023)
Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang
Online ensemble deep random vector functional link for the assistive robots. IJCNN (2023)
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Aijuan Song, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz
Automatic Variable Reduction. IEEE Trans. Evol. Comput. 27 (4) (2023)
Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel
Low-rank and global-representation-key-based attention for graph transformer. Inf. Sci. 642 (2023)
Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Inf. Sci. 624 (2023)
Zhongqiang Ma, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, Aijuan Song, Qizhang Luo
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms. Swarm Evol. Comput. 77 (2023)
Xuan He, Quan-Ke Pan, Liang Gao, Ling Wang, Ponnuthurai Nagaratnam Suganthan
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems. IEEE Trans. Evol. Comput. 27 (3) (2023)
Liang Wang, Kaizhou Gao, Zhongjie Lin, Wuze Huang, Ponnuthurai Nagaratnam Suganthan
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems. Appl. Soft Comput. 147 (2023)
Minghui Hu, Jet Herng Chion, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
Ensemble Deep Random Vector Functional Link Neural Network for Regression. IEEE Trans. Syst. Man Cybern. Syst. 53 (5) (2023)
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan
Online Continual Learning for Control of Mobile Robots. IJCNN (2023)
Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. IEEE Trans. Evol. Comput. 27 (6) (2023)
Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. ICASSP (2023)
Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan
Random vector functional link network: Recent developments, applications, and future directions. Appl. Soft Comput. 143 (2023)
Huan Liu, Guohua Wu, Ling Zhou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10 (3) (2023)
Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data. CoRR (2023)
Yanjie Song, Junwei Ou, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Qinwen Yang, Lining Xing
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
Depeng Li, Tianqi Wang, Bingrong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan
IF2Net: Innately Forgetting-Free Networks for Continual Learning. CoRR (2023)
Yuanzhen Li, Kaizhou Gao, Leilei Meng, Ponnuthurai Nagaratnam Suganthan
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption. Eng. Appl. Artif. Intell. 126 (2023)
Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. IJCNN (2022)
Guohua Wu, Xupeng Wen, Ling Wang, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques. IEEE Trans. Evol. Comput. 26 (4) (2022)
Qizhang Luo, Guohua Wu, Bin Ji, Ling Wang, Ponnuthurai Nagaratnam Suganthan
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Ramen Pal, Somnath Mukhopadhyay, Debasish Chakraborty, Ponnuthurai Nagaratnam Suganthan
Very high-resolution satellite image segmentation using variable-length multi-objective genetic clustering for multi-class change detection. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue 10, Part B) (2022)
Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199 (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Bayesian optimization based dynamic ensemble for time series forecasting. Inf. Sci. 591 (2022)
Qiushi Shi, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification. Pattern Recognit. 132 (2022)
Wenbo Qiu, Jianghan Zhu, Guohua Wu, Huangke Chen, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 52 (3) (2022)
Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP (2022)
Qiushi Shi, Ponnuthurai Nagaratnam Suganthan
Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification. ICONIP (1) (2022)
Guohua Wu, Ni Mao, Qizhang Luo, Binjie Xu, Jianmai Shi, Ponnuthurai Nagaratnam Suganthan
Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Javier Del Ser
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification. Eng. Appl. Artif. Intell. 115 (2022)
Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification. CoRR (2022)
Guohua Wu, Qizhang Luo, Xiao Du, Yingguo Chen, Ponnuthurai Nagaratnam Suganthan, Xinwei Wang
Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-and-Conquer Framework for Multisatellite Observation Scheduling. IEEE Trans. Aerosp. Electron. Syst. 58 (5) (2022)
Liu Guimeng, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Unsupervised Generative Variational Continual Learning. ICIP (2022)
Wen Xin Cheng, Ponnuthurai Nagaratnam Suganthan
Adaptive Scaling for U-Net in Time Series Classification. ICONIP (1) (2022)
Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. Expert Syst. Appl. 206 (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Graph ensemble deep random vector functional link network for traffic forecasting. Appl. Soft Comput. 131 (2022)
Changsong Li, Guojiang Xiong, Xiaofan Fu, Ali Wagdy Mohamed, Xufeng Yuan, Mohammed Azmi Al-Betar, Ponnuthurai Nagaratnam Suganthan
Takagi-Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm. Knowl. Based Syst. 255 (2022)
Tianping Liu, Guojiang Xiong, Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan
Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options. Inf. Sci. 609 (2022)
Essam H. Houssein, Ahmed G. Gad, Yaser Maher Wazery, Ponnuthurai Nagaratnam Suganthan
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends. Swarm Evol. Comput. 62 (2021)
Ali Mohammadi, Seyed Hamid Zahiri, Seyyed Mohammad Razavi, Ponnuthurai Nagaratnam Suganthan
Design and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization. Appl. Soft Comput. 109 (2021)
Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan
An improved brain storm optimisation algorithm for energy-efficient train operation problem. Int. J. Bio Inspired Comput. 17 (4) (2021)
Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan
Walk-forward empirical wavelet random vector functional link for time series forecasting. Appl. Soft Comput. 108 (2021)
Essam H. Houssein, Ahmed G. Gad, Kashif Hussain, Ponnuthurai Nagaratnam Suganthan
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application. Swarm Evol. Comput. 63 (2021)
Vikas Palakonda, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
An ensemble approach with external archive for multi- and many-objective optimization with adaptive mating mechanism and two-level environmental selection. Inf. Sci. 555 (2021)
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali, Ponnuthurai Nagaratnam Suganthan
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review. Expert Syst. Appl. 167 (2021)
Wenbo Qiu, Jianghan Zhu, Guohua Wu, Mingfeng Fan, Ponnuthurai Nagaratnam Suganthan
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy. Swarm Evol. Comput. 60 (2021)
Huangke Chen, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Lining Xing, Xiaomin Zhu
An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51 (3) (2021)
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Qizhang Luo, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results. Swarm Evol. Comput. 67 (2021)
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm Evol. Comput. 56 (2020)
Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy. CoRR (2020)
Xupeng Wen, Guohua Wu, Mingfeng Fan, Rui Wang, Ponnuthurai Nagaratnam Suganthan
Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization. CEC (2020)
Filippo Maria Bianchi, Ponnuthurai Nagaratnam Suganthan
Non-iterative Learning Approaches and Their Applications. Cogn. Comput. 12 (2) (2020)
Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga
Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting. J. Bank. Financial Technol. 3 (1) (2019)
Trinadh Pamulapati, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
$I_{\rm SDE}$ + - An Indicator for Multi and Many-Objective Optimization. IEEE Trans. Evol. Comput. 23 (2) (2019)
Kaizhou Gao, Yicheng Zhang, Rong Su, Fajun Yang, Ponnuthurai Nagaratnam Suganthan, MengChu Zhou
Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Li Yan, Boyang Qu, Yongsheng Zhu, Baihao Qiao, Ponnuthurai Nagaratnam Suganthan
Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance. Sci. China Inf. Sci. 62 (7) (2019)
Kaizhou Gao, Yi Zhang, Yicheng Zhang, Rong Su, Ponnuthurai Nagaratnam Suganthan
Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems. IEEE Trans. Intell. Transp. Syst. 20 (7) (2019)
Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
Ensemble strategies for population-based optimization algorithms - A survey. Swarm Evol. Comput. 44 (2019)
Nandar Lynn, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth, Trinadh Pamulapati, Rammohan Mallipeddi
Unit commitment using time-ahead priority list and heterogeneous comprehensive learning PSO. SSCI (2019)
Kaizhou Gao, Fajun Yang, MengChu Zhou, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm. IEEE Trans. Cybern. 49 (5) (2019)
Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan
Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation. Soft Comput. 22 (10) (2018)
Nandar Lynn, Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan
Population topologies for particle swarm optimization and differential evolution. Swarm Evol. Comput. 39 (2018)
Bin Huang, Weihai Chen, Xingming Wu, Chun-Liang Lin, Ponnuthurai Nagaratnam Suganthan
High-quality face image generated with conditional boundary equilibrium generative adversarial networks. Pattern Recognit. Lett. 111 (2018)
Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting. Knowl. Based Syst. 145 (2018)
Ponnuthurai Nagaratnam Suganthan
Letter: On non-iterative learning algorithms with closed-form solution. Appl. Soft Comput. 70 (2018)
Xueheng Qiu, Ye Ren, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting. Appl. Soft Comput. 54 (2017)
Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin
Robust Visual Tracking Using Oblique Random Forests. CVPR (2017)
Le Zhang, Ponnuthurai Nagaratnam Suganthan
Benchmarking Ensemble Classifiers with Novel Co-Trained Kernal Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]. IEEE Comput. Intell. Mag. 12 (4) (2017)
Le Zhang, Ponnuthurai Nagaratnam Suganthan
Visual Tracking With Convolutional Random Vector Functional Link Network. IEEE Trans. Cybern. 47 (10) (2017)
Le Zhang, Ponnuthurai Nagaratnam Suganthan
Robust visual tracking via co-trained Kernelized correlation filters. Pattern Recognit. 69 (2017)

Ponnuthurai Nagaratnam Suganthan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ponnuthurai Nagaratnam Suganthan