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GSO and AS

于 2019-12-16 发布
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说明:  在学习优化算法的过程中,为快速了解算法求解过程,整理出这两个算法。通过蚁群算法和萤火虫算法对测试函数进行求解,以图片的形式展示算法迭代过程中蚂蚁或萤火虫的移动过程,了解算法特点。相对而言蚁群算法更快,但不一定能找到最优解。(By learning the optimization algorithm, the two algorithms are sorted out. The ant colony algorithm and the firefly algorithm are used to solve the test function. The moving process of the ant or firefly in the iterative process of the algorithm is shown in the form of pictures. To understand the characteristics of the algorithm, the ant colony algorithm is relatively faster, but it is not necessarily able to find the optimal solution.)

文件列表:

GSO and AS, 0 , 2019-12-16
GSO and AS\AS.m, 3338 , 2019-12-16
GSO and AS\fun.m, 827 , 2019-12-16
GSO and AS\fun2.m, 770 , 2019-12-16
GSO and AS\fun3.m, 828 , 2019-12-16
GSO and AS\GSO_standard.m, 3807 , 2019-12-16
GSO and AS\range1.m, 558 , 2019-12-16

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