Abstract: The paper presents a hybrid genetic algorithm which marries simulated annealing with genetic algorithms, then applies it to optimal operation of oil pipeline and makes primary research. Combing an example, the paper analysis and compares several different algorithms. And the result shows the hybrid genetic algorithm that the paper presented possesses fast searching speed, easy to converge and stronger optimize robustness. The example shows that the power cost that the hybrid genetic algorithm acquired is 3. 58%, less than that of dynamic program acquired, so the hybrid genetic algorithm is valid and practical.