文件名称:vehicle-routing-aco-master

  • 所属分类:
  • Internet/网络编程
  • 资源属性:
  • [C/C++] [源码]
  • 上传时间:
  • 2015-08-02
  • 文件大小:
  • 103kb
  • 下载次数:
  • 0次
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  • 关**
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这是用蚁群算法实现的机器人路径规划方法,里面有很多代码-this ia an algorithm implemented by ant colony algorithm
(系统自动生成,下载前可以参看下载内容)

下载文件列表





vehicle-routing-aco-master

..........................\ACS-VRP-v1.cpp

..........................\AntSystem.cpp

..........................\AntSystem.h

..........................\Graph.cpp

..........................\Graph.h

..........................\Makefile

..........................\Parameters.cpp

..........................\Parameters.h

..........................\Reader.cpp

..........................\Reader.h

..........................\Util.cpp

..........................\Util.h

..........................\augerat-a

..........................\.........\A-n32-k5.vrp

..........................\.........\A-n33-k5.vrp

..........................\.........\A-n33-k6.vrp

..........................\.........\A-n34-k5.vrp

..........................\.........\A-n36-k5.vrp

..........................\.........\A-n37-k5.vrp

..........................\.........\A-n37-k6.vrp

..........................\.........\A-n38-k5.vrp

..........................\.........\A-n39-k5.vrp

..........................\.........\A-n39-k6.vrp

..........................\.........\A-n44-k7.vrp

..........................\.........\A-n45-k6.vrp

..........................\.........\A-n45-k7.vrp

..........................\.........\A-n46-k7.vrp

..........................\.........\A-n48-k7.vrp

..........................\.........\A-n53-k7.vrp

..........................\.........\A-n54-k7.vrp

..........................\.........\A-n55-k9.vrp

..........................\.........\A-n60-k9.vrp

..........................\.........\A-n61-k9.vrp

..........................\.........\A-n62-k8.vrp

..........................\.........\A-n63-k10.vrp

..........................\.........\A-n63-k9.vrp

..........................\.........\A-n64-k9.vrp

..........................\.........\A-n65-k9.vrp

..........................\.........\A-n69-k9.vrp

..........................\.........\A-n80-k10.vrp

..........................\.........\sol

..........................\.........\...\opt-A-n32-k5

..........................\.........\...\opt-A-n33-k5

..........................\.........\...\opt-A-n33-k6

..........................\.........\...\opt-A-n34-k5

..........................\.........\...\opt-A-n36-k5

..........................\.........\...\opt-A-n37-k5

..........................\.........\...\opt-A-n37-k6

..........................\.........\...\opt-A-n38-k5

..........................\.........\...\opt-A-n39-k5

..........................\.........\...\opt-A-n39-k6

..........................\.........\...\opt-A-n44-k6

..........................\.........\...\opt-A-n45-k6

..........................\.........\...\opt-A-n45-k7

..........................\.........\...\opt-A-n46-k7

..........................\.........\...\opt-A-n48-k7

..........................\.........\...\opt-A-n53-k7

..........................\.........\...\opt-A-n54-k7

..........................\.........\...\opt-A-n55-k9

..........................\.........\...\opt-A-n61-k9

..........................\.........\...\opt-A-n65-k9

..........................\augerat-b

..........................\.........\B-VRP-sol.zip

..........................\.........\B-VRP.zip

..........................\augerat-c

..........................\.........\P-VRP.zip

..........................\.........\P-n16-k8.vrp

..........................\csv_script.py

..........................\notes.txt

..........................\resultados

..........................\..........\res-A-n32-k5.ods

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