To enhance the efficiency of corporation partner selection and optimization process in virtual corporations

an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented. In the model

the adaptive genetic algorithm was used to enhance the efficiency of corporation partner selection and optimization process. The AGA could solve the problem of prematurity and local convergence more compatibly than SGA. In the experiments

two kinds of genetic algorithms were used to be compared with

which were standard genetic algo-rithm（SGA） and adaptive genetic algorithm（AGA）. After 1 000 times of experiments to gain the optimal result

SGA aver-agely needed 166 runs

while the AGA averagely only needed 145 runs. The experimental results show that the AGA can gain the optimal result more efficiently than SGA in corporation partner selection and optimization process.