Research on product force enhancement model based on genetic algorithm and nonlinear programming

In order to improve the score of product power, this paper establishes an optimization model of product power score improvement based on genetic algorithm. Firstly, customers who did not purchase cars were selected, and then nonlinear programming was established to minimize the improvement of satisfaction (customer purchase). Then, the constraint conditions are determined and the equations are established by using the genetic algorithm toolbox of MATLAB. The minimum values of customer satisfaction are obtained as follows: 6.5, 9.6 and 4.2, and corresponding schemes are formulated according to the results. Finally, we evaluate the advantages and disadvantages of the model, and discuss the future of the model.