Genetic Code for Evolution of Evolvability

Abstract

Evolvability of an evolutionary algorithm is considered to be an ability of the algorithm to keep producing useful phenotypic change in a dynamic environment while being robust against harmful phenotypic change. So, the evolution of evolvability is to acquire the higher ability. In this paper, we propose a genetic code for achieving the evolution of evolvability. The proposed genetic code uses an algorithm to generate graphs following a power-law which is said to be robust against random change. We show that the genetic code indeed achieves the evolution of evolvability though dynamic optimization.