A Method of Image Recognition Based on Improvement Ant Colony Algorithm

This article proposed one kind of improvement ant colony algorithm, has realized to the manipulator platform in the work piece image recognition function. Using the ant colony algorithm in the ant population's diversification, strengthened the search ergodicity, thus changes seeks to the most superior match result. In the improvement algorithm simulates the annealing thought integration to be more advantageous with the partial parameter auto-adapted adjustment in the iterative earlier period searches the optimal solution, later period sped up the convergence rate, reduced the optimization time.