Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

50+ multitask evolutionary algorithms for multitask optimization 50+ single-task evolutionary algorithms that can handle multitask optimization problems 200+ multitask optimization problem cases with ...

300+ open source evolutionary algorithms 600+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...

To fully tap the abilities of renewables in reactive power optimization, this paper develops a detailed model for the power regulation capabilities of wind turbines and photovoltaic units and studies ...

1 College of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou, China. 2 Institution of Rural Development, Zhongkai University of Agriculture and Engineering, ...

1 Department of Hydrology Applied, Geological Survey of Brazil, Porto Alegre, Brazil. 2 Department of Hydraulic, School of Engineering of Sao Carlos, University of Sao Paulo, Sao Carlos, Brazil.