TY - JFULL AU - Reza Ghaemi and Amin Milani Fard and Hamid Tabatabaee and Mahdi Sadeghizadeh PY - 2008/8/ TI - Evolutionary Query Optimization for Heterogeneous Distributed Database Systems T2 - International Journal of Computer and Information Engineering SP - 2304 EP - 2311 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/12865 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 19, 2008 N2 - Due to new distributed database applications such as huge deductive database systems, the search complexity is constantly increasing and we need better algorithms to speedup traditional relational database queries. An optimal dynamic programming method for such high dimensional queries has the big disadvantage of its exponential order and thus we are interested in semi-optimal but faster approaches. In this work we present a multi-agent based mechanism to meet this demand and also compare the result with some commonly used query optimization algorithms. ER -