Rational allocation of leaching rates is significant for the organization of leaching process production. Generally

each leaching rate is given by engineers with the help of their experiences

which makes the supervision of leaching process production with a large extent of fuzziness and randomness

and it does not guarantee that the adjusted total leaching rate is the maximum. In order to determine the optimal leaching rate of gold hydrometallurgy process

an optimization model is established with maximizing the total leaching rate of hydrometallurgy process as the goal. And the second-order oscillating particle swarm algorithm is applied to solve the model. Finally

an experimental research demonstrates the effectiveness of the established model and algorithm.