Evolutionary many-objective optimisation based on scalarisation

This study overcomes the three major difficulties experienced by the existing multi-objective evolutionary algorithms; computational cost, convergence rate, and loss of diversity of solutions, when applied to the optimisation problems with more than three objectives. The outcome comparisons clearly indicate the significance of the proposed work over numerous state-of-the-art multi-objective evolutionary algorithms.