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CodeF1(解压密码见源链接)

于 2019-09-20 发布
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下载积分: 1 下载次数: 13

代码说明:

说明:  能够规划三维环境下的最优路径,能够满足多约束条件的目标规划(optimal path planning in three-dimensional enviroment)

文件列表:

Code1, 0 , 2019-09-19
Code1\case1, 0 , 2019-09-19
Code1\case1\1.fig, 13434 , 2019-09-19
Code1\case1\1.jpg, 11586 , 2019-09-19
Code1\case1\2.fig, 61754 , 2019-09-19
Code1\case1\2.jpg, 34179 , 2019-09-19
Code1\case1\3.png, 19006 , 2019-09-19
Code1\case1\case1.mat, 8459 , 2019-09-19
Code1\case1\fobj.m, 1484 , 2019-09-19
Code1\case1\fobj2.m, 1470 , 2019-09-19
Code1\case1\fobjprintf.m, 1666 , 2019-09-19
Code1\case1\genetic_operator.m, 6666 , 2019-09-19
Code1\case1\initialize_variables.m, 2887 , 2019-09-19
Code1\case1\main.m, 620 , 2019-09-19
Code1\case1\non_domination_sort_mod.m, 6932 , 2019-09-17
Code1\case1\RCAL.m, 337 , 2019-09-19
Code1\case1\replace_chromosome.m, 4120 , 2019-09-17
Code1\case1\results.mat, 284 , 2019-09-19
Code1\case1\tournament_selection.m, 5028 , 2019-09-02
Code1\case1\ycmopt.m, 2418 , 2019-09-19
Code1\case2, 0 , 2019-09-19
Code1\case2\1.fig, 13434 , 2019-09-19
Code1\case2\1.jpg, 11407 , 2019-09-19
Code1\case2\2.fig, 61754 , 2019-09-19
Code1\case2\2.jpg, 27745 , 2019-09-19
Code1\case2\3.png, 17614 , 2019-09-19
Code1\case2\case2.mat, 4639 , 2019-09-19
Code1\case2\fobj.m, 1484 , 2019-09-19
Code1\case2\fobj2.m, 1470 , 2019-09-19
Code1\case2\fobjprintf.m, 1666 , 2019-09-19
Code1\case2\genetic_operator.m, 6666 , 2019-09-19
Code1\case2\initialize_variables.asv, 2598 , 2019-09-19
Code1\case2\initialize_variables.m, 2887 , 2019-09-19
Code1\case2\main.m, 616 , 2019-09-19
Code1\case2\non_domination_sort_mod.m, 6932 , 2019-09-17
Code1\case2\RCAL.m, 337 , 2019-09-19
Code1\case2\replace_chromosome.m, 4120 , 2019-09-17
Code1\case2\results.mat, 272 , 2019-09-19
Code1\case2\tournament_selection.m, 5028 , 2019-09-02
Code1\case2\ycmopt.m, 2395 , 2019-09-19

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    2019-01-13 11:38:18下载
    积分:1
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    根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)
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