A Hybrid Genetic Algorithm with Hyper-Mutation and Elitist Strategies for Automated Analog Circuit Design

摘要

Analog circuits are of great importance in electronic system design. Considering the lack of simple GA on evolving the analog circuit's components values, this paper proposes a hybrid genetic algorithm with hyper-mutation and elitist strategy. Experimental results show that, the proposed algorithm performs much better than simple GA. This paper proposes an efficient way of automated analog circuit design. It is obvious that, evolutionary methods have significant importance and large potential in analog circuit design automatization.