With the exponential growth of information on the World Wide Web, there is a great demand for developing efficient methods for effectively organizing the large amount of retrieved information. In this paper, the traditional vector space model is optimized.A web search method based on the clonal selection algorithm is proposed. Through comparing with the precision and hybrid retrieval rates, the results show this adaptive algorithm enhances the quality and efficiency,and the consequence of the retrieval is satisfactory.