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[Other resourcegafmax

Description: % [BestPop,Trace]=fmaxga(FUN,LB,UB,eranum,popsize,pcross,pmutation) % Finds a maximum of a function of several variables. % fmaxga solves problems of the form: % max F(X) subject to: LB <= X <= UB % BestPop--------最优的群体即为最优的染色体群 % Trace----------最佳染色体所对应的目标函数值 % FUN------------目标函数 % LB-------------自变量下限 % UB-------------自变量上限 % eranum---------种群的代数,取100--1000(默认1000) % popsize--------每一代种群的规模;此可取50--100(默认50) % pcross---------交叉的概率,此概率一般取0.5--0.85之间较好(默认0.8) % pmutation------变异的概率,该概率一般取0.05-0.2左右较好(默认0.1) % options--------1×2矩阵,options(1)=0二进制编码(默认0),option(1)~=0十进制编码,option(2)设定求解精度(默认1e-4)
Platform: | Size: 3036 | Author: mmcc | Hits:

[matlabgafmax

Description: % [BestPop,Trace]=fmaxga(FUN,LB,UB,eranum,popsize,pcross,pmutation) % Finds a maximum of a function of several variables. % fmaxga solves problems of the form: % max F(X) subject to: LB <= X <= UB % BestPop--------最优的群体即为最优的染色体群 % Trace----------最佳染色体所对应的目标函数值 % FUN------------目标函数 % LB-------------自变量下限 % UB-------------自变量上限 % eranum---------种群的代数,取100--1000(默认1000) % popsize--------每一代种群的规模;此可取50--100(默认50) % pcross---------交叉的概率,此概率一般取0.5--0.85之间较好(默认0.8) % pmutation------变异的概率,该概率一般取0.05-0.2左右较好(默认0.1) % options--------1×2矩阵,options(1)=0二进制编码(默认0),option(1)~=0十进制编码,option(2)设定求解精度(默认1e-4)- [BestPop, Trace] = fmaxga (FUN, LB, UB, eranum, popsize, pcross, pmutation) Finds a maximum of a function of several variables. Fmaxga solves problems of the form: max F (X) subject to : LB <= X <= UB BestPop-------- optimal chromosome groups is the best group Trace---------- chromosome corresponding to the best objective function value FUN------------ objective function LB------------- variable lower limit since the UB------------- variable upper limit eranum--------- populations algebra, take 100- 1000 (default 1000) popsize-------- population size of each generation this desirable 50- 100 (default 50) pcross--------- crossover probability, the probability of a general check 0.5- 0.85 between the better (default 0.8) pmutation------ mutation probability, the probability of 0.05 general admission better about-0.2 (default 0.1) options-------- 1 × 2 matrix, options (1) = 0 binary code (default 0), option (1) ~ = 0 decimal coding, option (2 ) set accuracy (default 1e-4)
Platform: | Size: 3072 | Author: mmcc | Hits:

[OtherGAFMAX

Description: 遗传算法 求下列函数的最大值 obj(x)=x.*(10-x).*sin(2*pi*x), x\in[0,10].-Optimization problem by genetic algorithm of a function obj(x)=x.*(10-x).*sin(2*pi*x), x\in[0,10].
Platform: | Size: 5120 | Author: HU | Hits:

[matlabGAFMAX

Description: 简单的遗传算法求最大值的例子,只需按说明修改目标函数即可-Simple example of the maximum genetic algorithms
Platform: | Size: 4096 | Author: 罗红兵 | Hits:

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