A muti-join query optimization for the aerospace data

There are massive data in the aerospace field, and the characteristics of the aerospace data evoke the difficulty to query from the data. The multi-join queries can ease the difficulty. A BCOP_GA algorithm based on the Genetic Algorithm for multi-join query of the specific data with a new appropriate cost model for it is proposed. The algorithm takes the advantages of both Bee Colony Algorithm and Simulated Annealing Algorithm to resolve the problems in Genetic Algorithm such as the rapid convergence and the weakness of local search ability etc. It is finally proved to gain global convergence by the theoretical analysis.