- Category:
- matlab
- Tags:
-
- File Size:
- 291kb
- Update:
- 2018-01-03
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- 0 Times
- Uploaded by:
- 韩雪
Description: mmas
The existence of information Volatilization Coefficient in basic ant colony algorithm leads to the gradual loss of pheromones on the path that has never been searched, and the probability of being selected decreases, so that it is easy to fall into local optimum. The strategy of adopting the optimal solution of this iteration in the update of pheromone in the MMAS model
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| 最大最小蚁群算法\MMAS\Ant.cpp | 3193 | 2011-01-25
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| 最大最小蚁群算法\MMAS\Ant.h | 581 | 2011-01-24
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| 最大最小蚁群算法\MMAS\Common.cpp | 1723 | 2011-01-25
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| 最大最小蚁群算法\MMAS\Common.h | 1224 | 2011-01-25
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| 最大最小蚁群算法\MMAS\MMAS.cpp | 718 | 2011-01-25
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| 最大最小蚁群算法\MMAS\MMAS.sln | 897 | 2010-05-06
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| 最大最小蚁群算法\MMAS\MMAS.suo | 10752 | 2011-01-25
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| 最大最小蚁群算法\MMAS\MMAS.vcproj | 4132 | 2010-05-06
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| 最大最小蚁群算法\MMAS\ReadMe.txt | 973 | 2010-05-06
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| 最大最小蚁群算法\MMAS\stdafx.cpp | 208 | 2010-05-06
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| 最大最小蚁群算法\MMAS\stdafx.h | 233 | 2010-05-06
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| 最大最小蚁群算法\MMAS\Tsp.cpp | 3961 | 2011-01-25
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| 最大最小蚁群算法\MMAS\Tsp.h | 523 | 2011-01-25
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| 最大最小蚁群算法\MAX-MIN_Ant_System.pdf | 338069 | 2011-01-18
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| 最大最小蚁群算法\MMAS | 0 | 2011-01-25
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| 最大最小蚁群算法 | 0 | 2011-01-25 |
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