Grey-Model-Based-on-Genetic-

代码说明：

  基于GA-GM(1,1)模型的航空发电机状态趋势分析结果较GM(1,1)模型所得结果平均相对误差降低0.14个百分点，分析结果更加精确，为灰色分析模型及其优化模型在航空发电机剩余使用寿命预测技术研究中的应用奠定基础。同时也说明遗传优化算法在航空发电机状态趋势分析中的应用是可行的且具有实际科学意义。这也为GA-GM(1,1)模型在其他领域中的应用指明了道路。(GA-GM (1,1) model-based aviation generator status trend analysis results than GM (1,1) model results mean relative error is reduced by 0.14 percentage points, more precise analysis of the results, the gray analysis model and its optimization model Aviation generator remaining service life prediction technology research laid the foundation. Also genetic optimization algorithm Aviation generator status trend analysis is feasible and practical scientific significance. It also pointed the way for GA-GM (1,1) model in other areas.)

文件列表：

Grey Model Based on Genetic Algorithm
.....................................\best.m,374,2011-08-12
.....................................\calfitvalue.m,1588,2011-08-12
.....................................\calobjvalue.m,296,2010-06-01
.....................................\crossover.m,869,2010-05-18
.....................................\decodebinary.m,661,2011-08-12
.....................................\decodechrom.m,490,2010-06-01
.....................................\gene.m,1196,2011-08-12
.....................................\initpop.m,439,2010-05-18
.....................................\main.asv,687,2011-11-24
.....................................\main.m,774,2011-12-01
.....................................\mutation.m,605,2010-05-18
.....................................\selection.m,1140,2010-06-07
.....................................\tentotwo.m,517,2011-08-12
.....................................\Untitled3.m,1108,2012-08-28