【摘要】 通用搜索引擎（ GSE）通过将用户的请求分发给实际的搜索引擎来为用户提供服务。 GSE所选用的实际搜索将直接决定搜索的质量。由于实际搜索引擎的性能及用户的请求是动态改变的，所以固定的实际搜索引擎不利于系统整体性能的优化。文中利用一种模拟自然界生物进化过程的计算模型——遗传算法来实现 GSE中智能代理管理器的调度策略。利用它可以动态优化实际搜索引擎的组合，从而提高 GSE的整体性能。更多还原

【Abstract】 The general search engine (GSE) provides service to the users by dispensing the users’ requests to the factual search engines. The factual search engines selected by GSE determine the searching quality. Because the performance of the factual 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 adopts 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, we can optimize the combination of search engines and then improve the holistic performance of GSE.更多还原