Abstract
In the domains with the purpose of acquisition of adaptive strategies, Lamarckian mechanism which focuses on the inheritance of acquired characteristics is supposed to be an effective approach, because it is important to use the information which is acquired on the experiences in environment. However, the information useful for adaptation depends on the landscapes of problems to be applied. Therefore, in order to realize an adaptive Lamarckian evolution, it is needed some control mechanism considering which characteristics are desirable. In this paper, we examine that Lamarckian effects are dependent on problems such as Travelling Salesman Problem and Job Shop Scheduling Problem. Then, we construct an adaptive evaluation module for acquired characteristics, based on Genetic Supervision, and achieve an adaptive Lamarckian evolution by this mechanism. Genetic Supervision is a concept to determine the direction of adaptation innately. In this paper, we discuss the proposed method through the numerical experiments.
