Design of Available Land Space Optimization Model Based on Ant Colony Optimization Algorithm

With the development of national economy, the size of cities is gradually expanding, and the population is also increasing. Under these factors, it is necessary to plan the land space reasonably. This paper plans the available land space based on ant colony optimization algorithm. In the process of solving, the ant colony optimization algorithm mainly achieves the optimal solution by exchanging information between the individuals of the solution. Therefore, the ant colony optimization algorithm can be used for rational analysis and decision-making of land use and planning. This paper mainly uses the experimental method and comparative method to explore the design of the available land space optimization model of the ant colony optimization algorithm. The experimental results show that the difference between the predicted value and the final result is controlled within 0.5%, and the results are relatively reliable.