Investigation on Parameterless Schemes for DSMGA-II
Chia-Hua Chang, Tian–Li Yu · 2016
The only parameter that dependency structure matrix genetic algorithm II (DSMGA-II) requires is the population size, and the practicability of DSMGA-II would be further enhanced by removing the parameter. Existing parameterless schemes cannot be directly applied to DSMGA-II due to the confliction with the back mixing---one of the major operators of DSMGA-II. This paper focused on developing such parameterless schemes for DSMGA-II. Empirically these scheme yields promising results.