Fitness with diversity information for selection of evolutionary algorithms
Li Yang, Chengjun Li, Gang Liu, Wei Long · 2017
How to achieve the balance between exploration and exploitation is a open problem in the field of evolutionary computation. Diversity is used to reflect the balance in practice. In this paper, a scheme that using colony fitness defined by us in selection is proposed to achieve the balance. Such a scheme can be widely used in different evolutionary algorithms. Our experiments are executed based on evolutionary algorithms based on different chromosome representation. Experimental results show that our scheme bring the improvement on diversity. Thus, solutions go significantly better in nine cases out of twenty-five ones, while go statistical worse in only one case.