It is of great significance to design valve block with good performance to improve the performance of hydraulic system.The flow resistance characteristics of the booster valve block of the die casting machine were analyzed by using the computational dynamics method,and the pressure losses of the two different pressure block structures at different flow rates were obtained.The calculation results show that the pressure loss of valve block increases linearly with the increase of flow rate;the pressure loss with inclined runner is smaller than that without inclined runner,and the drag reduction effect increases with the increase of flow rate.Finally,the orthogonal test database of 4 factors and 5 levels was designed,and the multi-parameter single-objective optimization of the oblique channel booster valve was carried out.The pressure loss of the oblique channel booster valve can be reduced by about 20% after optimizing the oblique channel booster valve based on genetic algorithm and BP neural network.