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基于蚁群算法的多配送中心的车辆调度问题的研究
说明: 本代码是基于蚁群算法的多配送中心的车辆调度问题的研究论文的源代码,包括数据集,找了很久网上信息不全,加上自己总结,最终调试成功,分享一下(This code is the source code of the research paper on the vehicle scheduling problem of multiple distribution centers based on ant colony algorithm, including data set. After a long time of searching for incomplete information on the Internet, plus my own summary, the final debugging is successful. Share it)
- 2019-12-03 22:30:39下载
- 积分:1
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NSGA-II
说明: 求解多目标问题,业内最经典的多目标算法之一(to solve multi-object problem)
- 2020-06-25 06:40:01下载
- 积分:1
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MFOA
说明: 基于CEC——2017benchmark测试集,计算最优
修正的果蝇算法,弥补原始果蝇算法在负数集上的缺失(modify fruit fly optimization)
- 2020-06-16 04:00:02下载
- 积分:1
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基于人群搜索算法的函数优化
说明: 包含人群搜索算法源程序,和rastrigin、Schaffer和Spher三个函数的优化,并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)
- 2019-06-27 01:37:39下载
- 积分:1
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11912927CEC2005
说明: 附赠一个cec2005的matlab数据代码,这里推荐大家一个靠谱的论文检测平台。重复的部分有详细出处以及具体修改意见,能直接在文章上做修改,全部改完一键下载就搞定了。他们现在正在做毕业季活动, 赠送很多免费字数,可以说是十分划算了!地址直接百度paperpass(Comes with a cec2005 matlab data code. I recommend you a reliable paper detection platform. The repetitive part has a detailed source and specific revision opinions. You can directly make changes in the article, and you can get it all after one-click download. They are now doing graduation season activities, giving away a lot of free word count, which can be said to be very cost-effective! The address is:paperpass)
- 2021-02-24 09:59:39下载
- 积分:1
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用matlab实现灰狼优化算法 GWO
说明: 用matlab实现灰狼优化算法,用于最优化计算(Gray Wolf Optimization Algorithms with MATLAB for Optimal Computing)
- 2020-06-22 07:00:01下载
- 积分:1
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求解多目标问题,业内最经典的多目标算法之一 NSGA-II
求解多目标问题,业内最经典的多目标算法之一(to solve multi-object problem)
- 2020-06-25 06:40:01下载
- 积分:1
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调度
说明: 日前调度,很好用的。已经证明打开了。可以运行(Day ahead scheduling)
- 2019-05-26 21:24:35下载
- 积分:1
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改进的蚁群算法
说明: 在蚁群算法的基础上进行改进,使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)
- 2019-03-27 21:11:48下载
- 积分:1
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compute_DC_BC_NC_CoEWC_PEC_WDC_methods_results
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.)
- 2020-06-23 17:40:02下载
- 积分:1