Evolution strategy;
differential evolution;
self-organized criticality;
power law;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
In this paper, we investigate self-organizing critical (SOC) properties of a successful evolution strategy Differential Evolution (DE) Algorithm. Numerical simulations of different DE strategies are studied on a set of problems. We search for typical signs, which point to a SOC behavior. Our main target is to find a power law-polynomial, scale invariant relationship. The power law is a basic characteristic of SOC systems, which can serve as a strong indicator of SOC.