To solve the problem of unacceptable execution time for solving large-scale and complex mixed integer non-linear programming problems by using deterministic algorithms

a paralleled sequential quadratic programming algorithm on the basis of GPU acceleration was proposed

in which a thorough analysis of the SQP algorithm and the framework of GPU was made.In the proposed method

enumeration algorithm was used to deal with binary variables

and the CPU +GPU strategy and the GPU in parallel were used to accelerate convergence rate.Numerical experiments show that compared to the typical serial algorithm

the proposed algorithm possesses a better convergence performance for solving MINLP problems with more binary variables and less constraints.