A new self-adaptive dynamic control strategy of population size is proposed. This strategy can be easily combined with various nature computation methods because its implementation is independent of the evolutionary operation details. The framework of the strategy is first given. Based on the framework, the study proposes a method which can vary the number of increase/decrease on the basis of the logistic model. The study also designs an increase operator giving consideration to the effectiveness and diversity adaptively, as well as a decrease operator with the diversity. The strategy is applied to two different nature computation methods. Experimental evaluation is conducted on both a set of standard test functions and a new set of benchmark functions CEC05. The results show that the new algorithms with proposed strategy outperform the original algorithms on both the precision and convergence rate.