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Found 4 papers, 0 papers with code
Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
The success history-based adaptive differential evolution with linear reduction and the multi-objective evolutionary algorithm based on decomposition were identified as the best-performing algorithms and used to determine the influence of different objectives in the single-objective optimisation and their combined impact on the draft tube design in the multi-objective optimisation.
Predictive modeling of microbiological seawater quality classification in karst region using cascade model
Currently, the cascade model is employed as a filter method, where measurements not classified as excellent quality need to be further analyzed.
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Finally, the spatial and temporal accuracy of both ML models were examined at sites with the lowest coastal water quality.
Introducing languid particle dynamics to a selection of PSO variants
Previous research showed that conditioning a PSO agent's movement based on its personal fitness improvement enhances the standard PSO method.
