基于matlab蚁群算法的优化计算——TSP优化.zip

clear clc ObjectiveFunction = @my_first_SA; % Function handle to the objective function X0 = [1 1]; % Starting point lb = [-2 -2]; % Lower bound ub = [2 2]; % Upper bound options = saoptimset('MaxIter',500,'StallIterLim',500,'TolFun',1e-100,'AnnealingFcn',@annealingfast,'InitialTemperature',100,'TemperatureFcn',@temperatureexp,'ReannealInterval',500,'PlotFcns',{@saplotbestx, @saplotbestf, @saplotx, @saplotf,@saplottemperature}); [x,fval] = simulannealbnd(ObjectiveFunction,X0,lb,ub,options);