A new automatic test data generation algorithm based on PSO-ACO

In view of the shortcomings of the test data generation algorithm including particle swarm optimization algorithm and ant colony algorithm, a new algorithm is proposed, which is based on the combination of particle swarm algorithm and parameter adjustment. This algorithm can dynamically adjust its search capabilities based on the fitness value of particles , combine the advantages of particle swarm optimization (PSO) algorithm and ant colony algorithm（ACO）to ensure the convergence and accuracy of the algorithm. Experiments show that the new algorithm can effectively improve the efficiency of test data generation.