Telecommunications Science ›› 2016, Vol. 32 ›› Issue (11): 16-25.doi: 10.11959/j.issn.1000-0801.2016295
• research and development • Previous Articles Next Articles
Guangxue YUE1,Hao SONG1,2,Xiaofeng XIONG2,Jiansheng LIU2,Bailin MA1
Online:2016-11-20
Published:2017-06-05
Supported by:Guangxue YUE,Hao SONG,Xiaofeng XIONG,Jiansheng LIU,Bailin MA. Channel optimization scheme for MIMO wireless mesh network based on multi-objective[J]. Telecommunications Science, 2016, 32(11): 16-25.
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| 多目标进化算法 | 主要思想Pareto优化 | 优势 | 缺点 |
| NSGA2 | 效率高，解集分布性高对低维优化表现良好 | 解集多样性不够理想，解集过程有缺陷 | |
| PESA2 | 收敛性好，高维问题易接近最优面 | 选择操作一次只能选择一个个体时间复杂度大、多样性差 | |
| SPEA2 | 对高维问题解集分布性高 | 聚类过程中保持多样性耗时长运行效率低 | |
| 多目标模拟退火算法 | Monte Carlo（蒙特卡罗）迭代求解 | 具有跳出局部最优的能力，通用性、灵活性高 | 对初始温度和退温系数这两个参数依赖性较强，直接关系到性能 |
| 多目标蚁群优化算法 | 蚁群模拟，仿生优化算法 | 算法可靠性高，具有较强的全局搜索能力 | 需要较长的搜索时间，易出现早熟停滞现象 |
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组 | 节点数/个 | 组 | 节点数/个 | |
1 | 61 | 21 | 23 | |
2 | 62 | 22 | 19 | |
3 | 48 | 23 | 35 | |
4 | 50 | 24 | 22 | |
5 | 50 | 25 | 16 | |
6 | 56 | 26 | 21 | |
7 | 53 | 27 | 2 | |
8 | 51 | 28 | 7 | |
9 | 49 | 29 | 9 | |
10 | 32 | 30 | 5 | |
11 | 45 | 31 | 7 | |
12 | 39 | 32 | 2 | |
13 | 46 | 33 | 6 | |
14 | 34 | 34 | 4 | |
15 | 17 | 35 | 1 | |
16 | 37 | 36 | 1 | |
17 | 30 | 37 | 1 | |
18 | 27 | 38 | 1 | |
19 | 6 | 39 | 2 | |
20 | 22 | 40 | 1 |
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组 | 节点数/个 | 组 | 节点数/个 | |
1 | 21 | 12 | 9 | |
2 | 18 | 13 | 4 | |
3 | 20 | 14 | 7 | |
4 | 15 | 15 | 4 | |
5 | 15 | 16 | 6 | |
6 | 13 | 17 | 5 | |
7 | 13 | 18 | 5 | |
8 | 10 | 19 | 2 | |
9 | 8 | 20 | 3 | |
10 | 12 | 21 | 1 | |
11 | 8 | 22 | 1 |
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组 | 节点数/个 | 组 | 节点数/个 | |
1 | 6 | 7 | 3 | |
2 | 6 | 8 | 4 | |
3 | 6 | 9 | 3 | |
4 | 5 | 10 | 2 | |
5 | 5 | 11 | 2 | |
6 | 3 | 12 | 3 |
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参数集 | 参数 | 平均吞吐量/（Mbit·s-1） | |||
12个分组 | 40个分组 | ||||
参数集1 | 0.4 | 0.3 | 0.3 | 64.19 | 81.67 |
参数集2 | 0.1 | 0.2 | 0.7 | 85.61 | 76.14 |
参数集3 | 0.2 | 0.4 | 0.4 | 84.49 | 85.98 |
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参数集 | 参数 | 平均时延/ms | |||
12个分组 | 40个分组 | ||||
参数集1 | 0.4 | 0.3 | 0.3 | 9.74 | 23.87 |
参数集2 | 0.1 | 0.2 | 0.7 | 9.62 | 42.64 |
参数集3 | 0.2 | 0.4 | 0.4 | 11.39 | 26.53 |
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