how to plot 3-d objective function with my two variables with the fmincon algorithm use
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i am using surfc command but how to implent to it give iterative result vary with variables.Can any body help
xo=[0.001,0.005]; % assumptions
%[Q]=heatload1_new(xo)
%nvars=3;
A=[];
b=[];
Aeq=[];
beq=[];
lb=[0.0001,0.003]; %lower bound
ub=[0.01,0.08]; %upper bound
nonlincon = @(x)constraint_new(x); % calling constraint function
Fitnessfun =@(x)weight_testvariable(x); %calling objective function
options = optimoptions(@fmincon,'Display','iter-detailed','Algorithm','sqp','MaxIterations',1500)
options = optimset('Display','iter','TolFun',1e-6)
options = optimset('PlotFcns',@optimplotfval);
[X,fval]=fmincon(Fitnessfun,xo,[],[],[],[],lb,ub,nonlincon,options)
1 commentaire
Walter Roberson
le 22 Août 2019
What is to be plotted?
fmincon() would sort of follow a slope, and would at best produce a 3D line of output reflecting the points visited and their cost, not a surface.
Have a look at the option PlotFcn, perhaps 'optimplotx'
Réponses (1)
Raunak Gupta
le 28 Août 2019
Hi,
There is a similar question which may be of relevance to you:
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