A modified teaching–learning based optimization for multi-objective optimal power flow problem.

Highlights: [•] A new modified teaching–learning based algorithm is proposed. [•] A self-adaptive wavelet mutation strategy is used to enhance the performance. [•] To avoid reaching a large repository size, a fuzzy clustering technique is used. [•] An efficiently smart population selection is utilized. [•] Simulations show the superiority of this algorithm compared with other ones. [Copyright &y& Elsevier]