In this paper, a genetic algorithm (GA) based principal component selection approach is proposed for production performance estimation in mineral processing. The approach combines a modified GA with principal component analysis (PCA) in order to improve the estimation accuracy of production performance. In this context, the extended chromosome encoding, the fitness function formed by combining ...
