Suganthan, P.N.

Differential Evolution: A Survey of the State-of-the-Art

Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 5,307

Differential evolution algorithm with ensemble of parameters and mutation strategies

Mallipeddi, R., Suganthan, P. N., Pan, Q. K., & Tasgetiren, M. F. (2011) · Applied Soft Computing

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 1,362

Differential evolution with multi-population based ensemble of mutation strategies

Wu, G., Mallipeddi, R., Suganthan, P. N., Wang, R., & Chen, H. (2016) · Information Sciences

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 569

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

Ren, Y., Suganthan, P. N., & Srikanth, N. (2015) · Renewable and Sustainable Energy Reviews

Energy Load and Power ForecastingSolar Radiation and Photovoltaics

Cited by 435

Ensemble of differential evolution variants

Wu, G., Shen, X., Li, H., Chen, H., Lin, A., & Suganthan, P. N. (2018) · Information Sciences

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 386

Ensemble strategies for population-based optimization algorithms – A survey

Wu, G., Mallipeddi, R., & Suganthan, P. N. (2019) · Swarm and Evolutionary Computation

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 270

Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm

Biswas, P. P., Suganthan, P. N., Wu, G., & Amaratunga, G. A. J. (2019) · Renewable Energy

Photovoltaic System Optimization TechniquesMetaheuristic Optimization Algorithms Research

Cited by 190

Generalized model and deep reinforcement learning-based evolutionary method for multitype satellite observation scheduling

Song, Y., Ou, J., Pedrycz, W., Suganthan, P. N., Wang, X., Xing, L., & Zhang, Y. (2024) · IEEE Transactions on Systems, Man, and Cybernetics: Systems

Satellite Communication SystemsScheduling and Optimization Algorithms

Cited by 63

Conv-ERVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer’s Disease Diagnosis

Sharma, R., Goel, T., Tanveer, M., Suganthan, P. N., Razzak, I., & Murugan, R. (2023) · IEEE Journal of Biomedical and Health Informatics

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 44

Gaussian adaptation based parameter adaptation for differential evolution

Mallipeddi, R., Wu, G., Lee, M., & Suganthan, P. N. (2014) · 2014 IEEE Congress on Evolutionary Computation (CEC)

Metaheuristic Optimization Algorithms ResearchAntenna Design and Optimization

Cited by 31

Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble $$\nu $$ -Support Vector Regression Model

Qiu, X., Zhu, H., Suganthan, P. N., & Amaratunga, G. A. J. (2017) · Communications in Computer and Information Science

Stock Market Forecasting MethodsForecasting Techniques and Applications

Cited by 7