The integration of cooperation model and genetic algorithm

In the photogrammetry, some researcher have applied genetic algorithms in aerial image texture classification and reducing hyper-spectrum remote sensing data. Genetic algorithm can rapidly find the solutions which are close to the optimal solution. But it is not easy to find the optimal solution. In order to solve the problem, a cooperative evolution idea integrating genetic algorithm and ant colony algorithm is presented in this paper. On the basis of the advantages of ant colony algorithm, this paper proposes the method integrating genetic algorithms and ant colony algorithm to overcome the drawback of genetic algorithms. Moreover, the paper takes designing texture classification masks of aerial images as an example to illustrate the integration theory and procedures.