关键词: 演化电路设计, 非支配排序遗传算法, 多目标优化, 协同演化适应值评估

Abstract: The definitions and details of multi-objective during process of analog circuit’s design are proposed in this paper.Based on it，a Multi-Objective Genetic Algorithm（MOGA） is presented.It features a group of uniformly scattered search direction by using Non-dominated Sorting Genetic Algorithms（NSGA） and fitness sharing strategy.A primitive circuit representation scheme，circuit-constructing instruction，is presented that enables circuit structure to be generated and improve the efficiency of evolution.And this representation is also the same with digital circuit.Coevolutionary fitness-evaluation strategy is utilized to improve the learning ability and efficiency of evolution.Some experimental results presented show that the MOGA is capable of searching out simple and practical circuits.

Key words: evolutionary design of circuit, non-dominated sorting genetic algorithms, multi-objective optimization, coevolutionary fitness-evaluation