33jiedianyichuansuanfa

代码说明：

  用于配电网重构的遗传算法，用了很久整理的(Genetic algorithm for distribution network reconfiguration)

文件列表：

33-传统遗传算法
33-传统遗传算法\Accord_Path_Find_Gene.m, 19593, 2011-11-02
33-传统遗传算法\Back_Forward_Sweep.m, 6116, 2012-04-16
33-传统遗传算法\BrOperationCount.asv, 669, 2011-08-26
33-传统遗传算法\BrOperationCount.m, 854, 2011-11-02
33-传统遗传算法\BrOperationCount_A2.m, 1169, 2011-12-01
33-传统遗传算法\CDC_RecordsTest.txt
33-传统遗传算法\CO_RecordsTest.txt
33-传统遗传算法\Constraint_Condition_Procedure.asv, 1767, 2011-12-01
33-传统遗传算法\Constraint_Condition_Procedure.m, 2158, 2011-12-02
33-传统遗传算法\Crowding_Distance_Calculate.asv, 10822, 2011-10-23
33-传统遗传算法\Crowding_Distance_Calculate.m, 5972, 2011-11-27
33-传统遗传算法\Crowding_Distance_Calculate_A2.asv, 7453, 2011-12-02
33-传统遗传算法\Crowding_Distance_Calculate_A2.m, 4064, 2011-12-02
33-传统遗传算法\DataBase33.xlsx, 498132, 2012-02-27
33-传统遗传算法\DataBase69.xlsx, 498128, 2012-02-26
33-传统遗传算法\Decoding_Dec_To_Bin.m, 360, 2011-11-20
33-传统遗传算法\Find_Swith_Path_Kinds.m, 1058, 2011-03-20
33-传统遗传算法\FlowCal_List_A2.m, 5648, 2012-03-30
33-传统遗传算法\GA_SBX_Simulated_Binary_Crossover.m, 2277, 2011-12-04
33-传统遗传算法\GA_Variation_Operation.m, 849, 2011-11-03
33-传统遗传算法\Get_Nodes_Value.m, 945, 2011-03-19
33-传统遗传算法\GridParameter.xls, 29184, 2012-03-29
33-传统遗传算法\GridParameter2.xls, 29696, 2012-03-30
33-传统遗传算法\IEEE标准69节点图.vsd, 136192, 2011-11-20
33-传统遗传算法\Inadequate_Max_Populatione_Replenish.asv, 2394, 2011-09-12
33-传统遗传算法\Inadequate_Max_Populatione_Replenish.m, 2394, 2011-09-12
33-传统遗传算法\Main_NSGA2_69Nodes_Reconstruction.asv, 7615, 2012-04-16
33-传统遗传算法\NSGA2_Selecting_Operation.asv, 2635, 2011-11-03
33-传统遗传算法\NSGA2_Selecting_Operation.m, 1908, 2011-12-02
33-传统遗传算法\NSO_RecordsTest.txt
33-传统遗传算法\NS_RecordsTest.txt
33-传统遗传算法\NVOC_ReNVOCrdsTest.txt
33-传统遗传算法\NVOC_RecordsTest.txt
33-传统遗传算法\Nondominated_Sorting.asv, 10012, 2011-11-27
33-传统遗传算法\Nondominated_Sorting.m, 10011, 2011-11-27
33-传统遗传算法\Nondominated_Sorting2.asv, 9585, 2011-11-13
33-传统遗传算法\Nondominated_Sorting2.m, 9585, 2011-11-13
33-传统遗传算法\Nondominated_Sorting_A2.asv, 6644, 2011-11-27
33-传统遗传算法\Nondominated_Sorting_A2.m, 6583, 2012-02-26
33-传统遗传算法\Normal_Variation_Operator_Calculate.asv, 1482, 2011-12-02
33-传统遗传算法\Normal_Variation_Operator_Calculate.m, 1437, 2011-12-02
33-传统遗传算法\Optimal_Path_Judge.m, 29, 2011-11-09
33-传统遗传算法\PIHP_RecordsTest.txt
33-传统遗传算法\POP_Selecting_Operator.asv, 842, 2011-12-02
33-传统遗传算法\POP_Selecting_Operator.m, 924, 2011-12-06
33-传统遗传算法\PSO_RecordsTest.txt
33-传统遗传算法\Power2_AllGene_Condition_Screen.m, 13080, 2011-05-24
33-传统遗传算法\Power69.xlsx, 8739, 2011-10-28
33-传统遗传算法\Produce_Initial_Heal_Population.asv, 3818, 2011-09-13
33-传统遗传算法\Produce_Initial_Heal_Population.m, 3625, 2011-09-13
33-传统遗传算法\Produce_Random_Gene.m, 356, 2011-11-20
33-传统遗传算法\Purposeful_Selecting_Operation.asv, 8689, 2011-11-09
33-传统遗传算法\Purposeful_Selecting_Operation.m, 8847, 2011-11-09
33-传统遗传算法\ReadData.m, 301, 2011-08-26
33-传统遗传算法\Roulette_Select_Operation.asv, 15640, 2012-05-07
33-传统遗传算法\Roulette_Select_Operation.m, 15691, 2012-05-07
33-传统遗传算法\SBX_Cross_Operator.asv, 2903, 2011-09-14
33-传统遗传算法\SBX_ReSBXrdsTest.txt
33-传统遗传算法\SBX_Simulated_Binary_Crossover.asv, 3002, 2011-12-02
33-传统遗传算法\SBX_Simulated_Binary_Crossover.m, 2971, 2012-02-26
33-传统遗传算法\Save_Every_Evolution_Optimizing.asv, 2210, 2011-12-02
33-传统遗传算法\Save_Every_Evolution_Optimizing.m, 2210, 2011-12-02
33-传统遗传算法\Search_Optimizing_Path_Trend.m, 37, 2011-10-09
33-传统遗传算法\Stop_Condition_Judge.asv, 2555, 2011-10-24
33-传统遗传算法\Stop_Condition_Judge.m, 1559, 2011-10-24
33-传统遗传算法\Sufficiency_Weight_Calculate_A2.m, 2146, 2011-12-05
33-传统遗传算法\Three_Object_Number.asv, 245, 2011-12-05
33-传统遗传算法\Three_Object_Number.m, 264, 2011-12-05
33-传统遗传算法\genetic_algorithm_function_A1.asv, 7317, 2012-05-07
33-传统遗传算法\genetic_algorithm_function_A1.m, 7437, 2012-05-07
33-传统遗传算法\~$$IEEE标准69节点图.~vsd, 4096, 2011-12-01