Abstract: The control of temperature change is a very important work in the process of studying circuit breaker temperature change.Because the test analysis of temperature change process are influenced by various factors,we need to use design of experiment method to screen out the key influence factors to improve.Based on the actual data obtained from a comprehensive survey of the circuit breaber temperature change process,this paper used uniformity and the more representative characteristics to perform an experiment when uniform design and orthogonal design when their number of experiment is similar.Then it applied response surface methodology to build a regression model about circuit breaker temperature change and used the genetic algorithm with penalty function to optimize,finding out a group of factors which get the best temperature control value.

Key words: Optimization design,Response surface methodology,Penalty function,Genetic algorithm