Multi-objective genetic algorithm for missing data imputation ?
The paper proposes a novel Multi-objective Genetic Algorithm for Data Imputation, called MOGAImp. This is the first method that applies a multi-objective approach to data imputation. MOGAImp presents a good tradeoff between the evaluation measures studied. The results confirm the MOGAImp prevalence for utilization over conflicting evaluation measures. MOGAImp codification scheme makes possible to adapt it to different application domains.
genetic algorithm missing data data imputation multi-objective evolutionary algorithm