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Ponnuthurai N. Suganthan
Ponnuthurai Nagaratnam Suganthan
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- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
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2020 – today
- 2025
- [j273]Ruobin Gao, Xiaocai Zhang, Maohan Liang, Ponnuthurai Nagaratnam Suganthan, Heng Dong:
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation. Appl. Soft Comput. 170: 112652 (2025) - [j272]Yida Ning, Zhenzu Bai, Juhui Wei, Ponnuthurai Nagaratnam Suganthan, Lining Xing, Jiongqi Wang, Yan-Jie Song:
A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment. Expert Syst. Appl. 261: 125555 (2025) - [j271]Xiang Fang
, Arvind Easwaran
, Blaise Genest, Ponnuthurai Nagaratnam Suganthan:
Your data is not perfect: Towards cross-domain out-of-distribution detection in class-imbalanced data. Expert Syst. Appl. 267: 126031 (2025) - [j270]Ponnuthurai Nagaratnam Suganthan
, Lingping Kong
, Václav Snásel
, Varun Ojha
, Hussein Ahmed Hussein Zaky Aly:
Euclidean and Poincaré space ensemble Xgboost. Inf. Fusion 115: 102746 (2025) - [j269]M. Sajid
, M. Tanveer
, Ponnuthurai N. Suganthan
:
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 33(1): 479-490 (2025) - 2024
- [j268]Faria Nawshin
, Devrim Unal
, Mohammad Hammoudeh
, Ponnuthurai N. Suganthan
:
AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks. Ad Hoc Networks 161: 103523 (2024) - [j267]Ruilin Li
, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina:
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics 62: 102575 (2024) - [j266]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): 110975 (2024) - [j265]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: 111415 (2024) - [j264]Aryan Bhambu
, Ruobin Gao
, Ponnuthurai Nagaratnam Suganthan
:
Recurrent ensemble random vector functional link neural network for financial time series forecasting. Appl. Soft Comput. 161: 111759 (2024) - [j263]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: 111943 (2024) - [j262]Hui Yu
, Kaizhou Gao, Zhiwu Li, Ponnuthurai Nagaratnam Suganthan:
Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics. Appl. Soft Comput. 166: 112247 (2024) - [j261]Jinlong Zhou
, Yinggui Zhang
, Fan Yu, Xu Yang
, Ponnuthurai Nagaratnam Suganthan:
A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization. Appl. Soft Comput. 167: 112297 (2024) - [j260]Faria Nawshin
, Radwa Gad, Devrim Unal
, Abdulla Khalid Al-Ali
, Ponnuthurai N. Suganthan:
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey. Comput. Electr. Eng. 117: 109233 (2024) - [j259]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) - [j258]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: 108668 (2024) - [j257]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): 1458-1475 (2024) - [j256]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): 1819-1835 (2024) - [j255]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: 102067 (2024) - [j254]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): 1698-1710 (2024) - [j253]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: 120627 (2024) - [j252]Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan:
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. Inf. Sci. 679: 121033 (2024) - [j251]Hussein Aly
, Abdulaziz K. Al-Ali
, Ponnuthurai Nagaratnam Suganthan:
Boosted multilayer feedforward neural network with multiple output layers. Pattern Recognit. 156: 110740 (2024) - [j250]Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan
:
Benchmark problems for large-scale constrained multi-objective optimization with baseline results. Swarm Evol. Comput. 86: 101504 (2024) - [j249]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: 101517 (2024) - [j248]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: 101620 (2024) - [j247]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: 101647 (2024) - [j246]Oladayo S. Ajani
, Dzeuban Fenyom Ivan, Daison Darlan
, Ponnuthurai N. Suganthan
, Kaizhou Gao, Rammohan Mallipeddi
:
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. Swarm Evol. Comput. 90: 101692 (2024) - [j245]Yelleti Vivek
, Vadlamani Ravi
, Ponnuthurai Nagaratnam Suganthan, P. Radha Krishna
:
Parallel fractional dominance MOEAs for feature subset selection in big data. Swarm Evol. Comput. 91: 101687 (2024) - [j244]Behrouz Ahadzadeh
, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan
:
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. 91: 101715 (2024) - [j243]Jinlong Zhou, Yinggui Zhang
, Ponnuthurai Nagaratnam Suganthan:
Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer. Swarm Evol. Comput. 91: 101735 (2024) - [j242]Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang:
An archive-assisted multi-modal multi-objective evolutionary algorithm. Swarm Evol. Comput. 91: 101738 (2024) - [j241]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): 4073-4087 (2024) - [j240]Raveendra Pilli
, Tripti Goel
, R. Murugan
, Muhammad Tanveer
, Ponnuthurai N. Suganthan
:
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation. IEEE Trans. Cogn. Dev. Syst. 16(4): 1342-1351 (2024) - [j239]Ashwani Kumar Malik
, M. A. Ganaie
, M. Tanveer
, Ponnuthurai N. Suganthan
:
Extended Features Based Random Vector Functional Link Network for Classification Problem. IEEE Trans. Comput. Soc. Syst. 11(4): 4744-4753 (2024) - [j238]Ashwani Kumar Malik
, M. A. Ganaie
, M. Tanveer
, Ponnuthurai N. Suganthan
:
Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. IEEE Trans. Comput. Soc. Syst. 11(4): 4754-4765 (2024) - [j237]M. Sajid
, Ashwani Kumar Malik
, Muhammad Tanveer
, Ponnuthurai N. Suganthan
:
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems. IEEE Trans. Fuzzy Syst. 32(5): 2738-2749 (2024) - [j236]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): 2611-2619 (2024) - [j235]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): 6061-6073 (2024) - [j234]Zhongjie Lin, Kaizhou Gao
, Naiqi Wu
, Ponnuthurai Nagaratnam Suganthan
:
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions. IEEE Trans. Intell. Transp. Syst. 25(10): 15053-15064 (2024) - [j233]Minghui Hu
, Ruobin Gao
, Ponnuthurai Nagaratnam Suganthan
:
Self-Distillation for Randomized Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16119-16128 (2024) - [j232]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): 1376-1387 (2024) - [j231]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): 2576-2589 (2024) - [j230]Hui Yu
, Kaizhou Gao
, Naiqi Wu
, MengChu Zhou
, Ponnuthurai N. Suganthan
, Shouguang Wang
:
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3321-3333 (2024) - [j229]Kunjie Yu
, Shaoru Sun, Jing Liang
, Ke Chen
, Boyang Qu
, Caitong Yue
, Ponnuthurai Nagaratnam Suganthan
:
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7305-7317 (2024) - [j228]Jiaying Chen
, Keyu Wu
, Minghui Hu
, Ponnuthurai Nagaratnam Suganthan
, Anamitra Makur
:
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments. IEEE Trans. Veh. Technol. 73(10): 14187-14200 (2024) - [j227]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): 117-125 (2024) - [c214]Faria Nawshin
, Romain Arnal
, Devrim Unal
, Ponnuthurai N. Suganthan
, Lionel Touseau
:
Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection. AICCONF 2024: 147-154 - [c213]Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-Stage Evolutionary Framework for Multi-Objective Optimization. CEC 2024: 1-7 - [c212]Subrat Prasad Panda, Blaise Genest, Arvind Easwaran, Ponnuthurai Nagaratnam Suganthan:
Vanilla Gradient Descent for Oblique Decision Trees. ECAI 2024: 1140-1147 - [c211]Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing. IJCNN 2024: 1-8 - [c210]Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. IJCNN 2024: 1-8 - [c209]Zhongzheng Qiao
, Quang Pham
, Zhen Cao
, Hoang H. Le
, Ponnuthurai N. Suganthan
, Xudong Jiang
, Savitha Ramasamy
:
Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD 2024: 5613-5624 - [i35]Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy:
Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR abs/2402.12035 (2024) - [i34]Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan:
Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles. CoRR abs/2404.01584 (2024) - [i33]Peng Chen, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban:
A Two-stage Evolutionary Framework For Multi-objective Optimization. CoRR abs/2407.06536 (2024) - [i32]Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan:
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR abs/2407.13264 (2024) - [i31]Subrat Prasad Panda, Blaise Genest, Arvind Easwaran, Ponnuthurai Nagaratnam Suganthan:
Vanilla Gradient Descent for Oblique Decision Trees. CoRR abs/2408.09135 (2024) - [i30]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. CoRR abs/2410.03205 (2024) - [i29]Abdul Quadir, M. Sajid, Mushir Akhtar, M. Tanveer, Ponnuthurai N. Suganthan:
Enhanced Feature Based Granular Ball Twin Support Vector Machine. CoRR abs/2410.05786 (2024) - [i28]Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider:
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. CoRR abs/2411.07315 (2024) - [i27]Xiang Fang, Arvind Easwaran, Blaise Genest, Ponnuthurai Nagaratnam Suganthan:
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data. CoRR abs/2412.06284 (2024) - [i26]Junda Wang, Minghui Hu, Ning Li, Abdulaziz K. Al-Ali, Ponnuthurai Nagaratnam Suganthan:
Incremental Online Learning of Randomized Neural Network with Forward Regularization. CoRR abs/2412.13096 (2024) - [i25]Xiang Fang, Arvind Easwaran, Blaise Genest, Ponnuthurai Nagaratnam Suganthan:
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection. CoRR abs/2412.15668 (2024) - 2023
- [j226]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: 110377 (2023) - [j225]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:
A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization. Appl. Soft Comput. 144: 110483 (2023) - [j224]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: 110714 (2023) - [j223]Heba Abdel-Nabi
, Mostafa Z. Ali, Arafat Awajan, Mohammad I. Daoud, Rami Alazrai
, Ponnuthurai N. Suganthan, Talal Ali:
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks. Clust. Comput. 26(5): 3145-3185 (2023) - [j222]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): 105535 (2023) - [j221]Ruilin Li
, Ruobin Gao
, Liqiang Yuan
, Ponnuthurai N. Suganthan, Lipo Wang
, Olga Sourina:
An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Eng. Appl. Artif. Intell. 123(Part A): 106237 (2023) - [j220]Sreenivasan Shiva
, Minghui Hu
, Ponnuthurai Nagaratnam Suganthan:
Online learning using deep random vector functional link network. Eng. Appl. Artif. Intell. 125: 106676 (2023) - [j219]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: 107011 (2023) - [j218]Ruilin Li
, Ruobin Gao
, Ponnuthurai N. Suganthan
, Jian Cui
, Olga Sourina, Lipo Wang:
A spectral-ensemble deep random vector functional link network for passive brain-computer interface. Expert Syst. Appl. 227: 120279 (2023) - [j217]Ruilin Li, Ruobin Gao
, Ponnuthurai Nagaratnam Suganthan:
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Inf. Sci. 624: 833-848 (2023) - [j216]Heba Abdel-Nabi
, Mostafa Z. Ali
, Arafat Awajan, Rami Alazrai
, Mohammad I. Daoud, Ponnuthurai N. Suganthan:
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization. Inf. Sci. 628: 92-133 (2023) - [j215]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: 119108 (2023) - [j214]Jinlong Zhou
, Yinggui Zhang, Ponnuthurai N. Suganthan
:
Dual population approximate constrained Pareto front for constrained multiobjective optimization. Inf. Sci. 648: 119591 (2023) - [j213]Ruobin Gao
, Ruilin Li, Minghui Hu
, Ponnuthurai N. Suganthan
, Kum Fai Yuen:
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166: 51-69 (2023) - [j212]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): 3486-3493 (2023) - [j211]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: 101248 (2023) - [j210]Kenneth V. Price, Abhishek Kumar
, Ponnuthurai N. Suganthan
:
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests. Swarm Evol. Comput. 78: 101287 (2023) - [j209]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): 9010-9025 (2023) - [j208]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): 430-444 (2023) - [j207]Aijuan Song
, Guohua Wu
, Ponnuthurai Nagaratnam Suganthan
, Witold Pedrycz
:
Automatic Variable Reduction. IEEE Trans. Evol. Comput. 27(4): 1027-1041 (2023) - [j206]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): 1896-1911 (2023) - [j205]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): 981-982 (2023) - [j204]Parul Arora
, Seyed Mohammad Jafar Jalali
, Sajad Ahmadian
, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan
, Abbas Khosravi
:
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics 19(3): 2814-2825 (2023) - [j203]Rahul Sharma
, Tripti Goel
, Muhammad Tanveer
, Ponnuthurai N. Suganthan
, Imran Razzak
, R. Murugan:
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27(10): 4995-5003 (2023) - [j202]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): 12062-12077 (2023) - [j201]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): 14415-14426 (2023) - [j200]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): 1283-1296 (2023) - [j199]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): 2604-2615 (2023) - [c208]Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai
, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds:
3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. CEC 2023: 1-8 - [c207]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: 1-5 - [c206]Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan:
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR 2023 - [c205]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: 1-8 - [c204]Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan:
Online Continual Learning for Control of Mobile Robots. IJCNN 2023: 1-10 - [c203]Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan:
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. IJCNN 2023: 1-8 - [i24]Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen:
Ensemble Reinforcement Learning: A Survey. CoRR abs/2303.02618 (2023) - [i23]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 abs/2303.10182 (2023) - [i22]Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, Ponnuthurai N. Suganthan, Yanjie Song:
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching. CoRR abs/2304.04022 (2023) - [i21]M. A. Ganaie, Muhammad Tanveer, Iman Beheshti
, Nehal Ahmad, Ponnuthurai N. Suganthan:
Heterogeneous Oblique Double Random Forest. CoRR abs/2304.06788 (2023) - [i20]Depeng Li, Tianqi Wang, Bingrong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan:
IF2Net: Innately Forgetting-Free Networks for Continual Learning. CoRR abs/2306.10480 (2023) - [i19]