Web Information Retrieval based on Fuzzy set derives user information need from vague and imprecise user queries and therefore uses fuzzy queries to retrieve documents relevant to user’s information need. Optimization techniques have been applied successfully in various domains and results proved effective therefore a novel approach is recommended using hybrid of Ant Colony Optimization(ACO)- Genetic Algorithm(GA) for recommendation of optimal set of relevant web pages for effective Fuzzy Information Retrieval. The Fuzzy IR based on ACO-GA was evaluated on the set of web query sessions collected in Academics, Entertainment and sports domain and the experimental results were analyzed statistically to confirm its effectiveness.