Use simulannealbnd without specifying the Upper andd lower bound

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Is it possible to use the simulannealbnd without actually specifying the lowerbound and upper bound, yet adding ither options to the functions?
For ex for: [x,fval,exitflag,output] = simulannealbnd(fun,x0,lb,ub,options), I specified lb=[],ub=[]
I got error saying LB must be a double.
What could've been the problem?

回答(2 个)

Walter Roberson
Walter Roberson 2022-9-1
use -inf and +inf for the bounds

Sam Chak
Sam Chak 2022-9-1
There is no issue in this example. Perhaps, try clearing lb and ub variables from the Workspace.
fun = @(x) x.^4 - 16*x.^2 + 5*x;
fplot(fun), grid on, xlabel('x'), ylabel('f(x)')
x0 = 0;
% lb = -5;
% ub = 5;
options = optimoptions(@simulannealbnd, 'MaxIterations', 150)
options =
simulannealbnd options: Set properties: MaxIterations: 150 Default properties: AcceptanceFcn: @acceptancesa AnnealingFcn: @annealingfast DataType: 'double' Display: 'final' FunctionTolerance: 1.0000e-06 HybridFcn: [] InitialTemperature: 100 MaxFunctionEvaluations: '3000*numberOfVariables' MaxStallIterations: '500*numberOfVariables' MaxTime: Inf ObjectiveLimit: -Inf OutputFcn: [] PlotFcn: [] ReannealInterval: 100 TemperatureFcn: @temperatureexp
% x = simulannealbnd(fun, x0, lb, ub, options)
x = simulannealbnd(fun, x0, [], [], options)
Maximum number of iterations exceeded: increase options.MaxIterations.
x = -2.9250

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