Litcius/Paper detail

Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient temperature

Xilei Sun, Jianqin Fu

2023Energy87 citationsDOI

Topics & Concepts

Multi-objective optimizationGradient boostingBoosting (machine learning)SortingComputer scienceComputationDecision treeMathematical optimizationPareto principleCategorical variableAlgorithmMachine learningMathematicsRandom forestElectric Vehicles and InfrastructureAdvanced Battery Technologies ResearchElectric and Hybrid Vehicle Technologies
Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient temperature | Litcius