Iterative ranking aggregation using quality improvement of subgroup ranking.

•The ranking aggregation is realized by improving the subgroup rankings quality.•The average ranking distance criterion is used to evaluate the ranking aggregation.•The new approach can improve the quality of the heuristic ranking aggregation.•There is a tradeoff between the optimality and computational cost.