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Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan +2
Metaheuristics are popularly used in various fields, and they have attracted much attention in the scientific and industrial communities. In recent years, the number of new metaheu…
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers
Kenneth V. Price, Abhishek Kumar, Ponnuthurai N Suganthan
Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal, like the final fitness values of multiple trials. For…
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui Hu, Chuanxia Zheng, Heliang Zheng +5
The recently developed discrete diffusion models perform extraordinarily well in the text-to-image task, showing significant promise for handling the multi-modality signals. In thi…
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative appr…
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition
Ruilin Li, Ruobin Gao, P. N. Suganthan
Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that a…
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification
Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
In this paper, we first introduce batch normalization to the edRVFL network. This re-normalization method can help the network avoid divergence of the hidden features. Then we prop…