A partition-based convergence framework for population-based optimization algorithms.

•A framework is proposed for population-based optimization algorithms’ convergence.•DIRECT’s partition and population evolutions are repeated in this framework.•The global convergence of the framework is proved.•Framework is applied successfully on three population-based optimization algorithms.