文件名称:ypea103-ant-colony-optimization
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-12-17
- 文件大小：
- 20kb
- 下载次数：
- 0次
- 提 供 者：
- Izaque******
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- 无
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- 别用迅雷下载，失败请重下，重下不扣分！
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colony optimization, It is a
population based approach that uses the exploration of positive feedback as well as
greedy search. The proposed method was inspired natural behavior of the ant
colonies on how they find the food source and bring them back to their nest by
building the unique trail formation.-colony optimization, It is a
population based approach that uses the exploration of positive feedback as well as
greedy search. The proposed method was inspired natural behavior of the ant
colonies on how they find the food source and bring them back to their nest by
building the unique trail formation.
population based approach that uses the exploration of positive feedback as well as
greedy search. The proposed method was inspired natural behavior of the ant
colonies on how they find the food source and bring them back to their nest by
building the unique trail formation.-colony optimization, It is a
population based approach that uses the exploration of positive feedback as well as
greedy search. The proposed method was inspired natural behavior of the ant
colonies on how they find the food source and bring them back to their nest by
building the unique trail formation.
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下载文件列表
YPEA103 Ant Colony Optimization\01 ACO for TSP\aco.m
...............................\..............\CreateModel.m
...............................\..............\license.txt
...............................\..............\main.m
...............................\..............\PlotSolution.m
...............................\..............\RouletteWheelSelection.m
...............................\..............\TourLength.m
...............................\.2 ACO for QAP\aco.m
...............................\..............\CreateModel.m
...............................\..............\license.txt
...............................\..............\main.m
...............................\..............\MyCost.m
...............................\..............\PlotSolution.m
...............................\..............\RouletteWheelSelection.m
...............................\.3 ACO for Binary Knapsack Problem\aco.m
...............................\..................................\CreateModel.m
...............................\..................................\license.txt
...............................\..................................\main.m
...............................\..................................\MyCost.m
...............................\..................................\RouletteWheelSelection.m
...............................\license.txt
license.txt