The International Journals of Engineering & Sciences (IJENS)
In recent years, there has been increasing use of Adaptive Query Processing (AQP) as a solution to the problems of query optimization and execution - across relational, text or XML data regardless of whether the data is accessed locally, from the web etc. This paper proposes a multi agent system by compiling two technologies, query processing optimization and agents which contains features of personalized queries and adaptive with changing of requirements. This system uses a new algorithm based on modeling of users' long-term requirements and also GA for gathering users' queries data. Results of executing show that in comparison to classic algorithms, the presented algorithm is more powerful in the field of adapting.