Ant colony algorithm is nature s way of routing drawn analogue A bionic algorithm. Ants in the course of the campaign, after which it can be in the way Leaving the path of a pheromone (pheromone) substance called information Transfer, and the ants during exercise can perceive the substance, and thus Guide their direction of motion, so the ant colony composed by a large group of ants row As it showed a message of positive feedback phenomenon: a path through the ant The more you later choose the path of greater probability. In this algorithm, Feasible solution After several iterations, the final will be the greatest probability approach most issues Optimal solution.

蚁群算法最终版
..............\AntColony.m
..............\AntGetThreshold.m
..............\Centroid.m
..............\F.m
..............\GetThreshold.m
..............\InvertBinary.m
..............\main.m
..............\rect12.m
..............\S_triangle.m
..............\test.bmp
..............\test11.bmp
..............\test111.bmp
..............\ToBinary.m
..............\ToGray.m
..............\基于蚁群算法的改进Otsu理论的图像多阈值分割.pdf
..............\已知三点坐标_求三角形面积.doc
..............\绘图2.bmp
..............\绘图3.bmp

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