关键词: 并行计算, 演化算法, 微机电系统（MEMS）微波继电器

Abstract: Time-consuming by using evolutionary algorithm to optimize MEMS microwave relay parameters is the manly problem. To solve this problem, this paper presents a master-slave parallel model to parallel the fitness calculation during the evolutionary algorithm. Considering the efficiency of the use of computer resources and load balancing, and other factors, the parallel model allows the server as little as possible to participate in mission computing and to reduce the communication between clients to enhance the distribution capacity. Besides, the model can complete the client exception handling, task redistribution to enhance the model’s fault-tolerant capability. By comparing the testing result, it proves the parallel evolutionary algorithm for MEMS microwave relay parameters optimization has a good performance.

Key words: parallel computing, evolutionary algorithm, Micro-Electro-Mechanical System（MEMS） microwave relay