Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques

In this chapter, four optimization methods, genetic algorithm, particle swarm optimization, hill climbing and simulated annealing are implemented and compared in the missing data problem. For future work hybrid optimization methods must be tested to evaluate their effectiveness and then compared. Furthermore, a study that would relate the characteristics of the data and the optimization method that is correspondingly most ideal should be undertaken.