The general search engine GSE provides service to the users by dispensing the users' requests to the existing search engines. The existing search engines selected by GSE determine the searching quality. Because the performance of the existing search engines and the users' requests are changed dynamically, it is not favorable for the fixed search engines to optimize the holistic performance of GSE. This paper applies the genetic algorithm (GA) to realize the scheduling strategy of agent manager; which can simulate the evolution process of living things more lively and more efficiently. By using GA, the combination of search engines can be optimized and hence the holistic performance of GSE can be improved dramatically.