I have written a code that uses patternsearch to optimize a complex aircraft geometry for a desired flight condition. The code itself is extremely long, so I’m writing a simpler version below. The function of interest takes multiple geometric variables as inputs, and outputs lift (the objective) and volume (the constraint). I have followed some guides, and have my code setup in a way like this at the moment (this is an extremely simplified version for brevity):
obj = fcn2optimexpr(@lift_fun,x1,x2,x3,x4,x5);
prob = optimproblem("Objective",1/obj);

const1 = fcn2optimexpr(@volume_fun,x1,x2,x3,x4,x5);
prob.Constraints.vol = const1 >= 5;

x0 = [1 2 3 4 5];

[sol] = solve(prob,x0,"Solver","patternsearch","Options",options);

function [lift] = lift_fun(w,n,beta,epsS,p2,p3,Mdesign)
[lift,~] = master_function(x1,x2,x3,x4,x5);
end

function [volume] = volume_fun(w,n,beta,epsS,p2,p3,Mdesign)
[~,volume] = master_function(x1,x2,x3,x4,x5);
end
As I understand it, this code is calling the function ‘master_function’ twice for every optimization loop. This is a problem because this function takes up to a minute to run every time. Because of this I am wondering if it is possible to edit this code so that ‘master_function’ is only called once, providing both the objective and the constraint for the patternsearch optimization? Thank you for your helpI have written a code that uses patternsearch to optimize a complex aircraft geometry for a desired flight condition. The code itself is extremely long, so I’m writing a simpler version below. The function of interest takes multiple geometric variables as inputs, and outputs lift (the objective) and volume (the constraint). I have followed some guides, and have my code setup in a way like this at the moment (this is an extremely simplified version for brevity):
obj = fcn2optimexpr(@lift_fun,x1,x2,x3,x4,x5);
prob = optimproblem("Objective",1/obj);

const1 = fcn2optimexpr(@volume_fun,x1,x2,x3,x4,x5);
prob.Constraints.vol = const1 >= 5;

x0 = [1 2 3 4 5];

[sol] = solve(prob,x0,"Solver","patternsearch","Options",options);

function [lift] = lift_fun(w,n,beta,epsS,p2,p3,Mdesign)
[lift,~] = master_function(x1,x2,x3,x4,x5);
end

function [volume] = volume_fun(w,n,beta,epsS,p2,p3,Mdesign)
[~,volume] = master_function(x1,x2,x3,x4,x5);
end
As I understand it, this code is calling the function ‘master_function’ twice for every optimization loop. This is a problem because this function takes up to a minute to run every time. Because of this I am wondering if it is possible to edit this code so that ‘master_function’ is only called once, providing both the objective and the constraint for the patternsearch optimization? Thank you for your help I have written a code that uses patternsearch to optimize a complex aircraft geometry for a desired flight condition. The code itself is extremely long, so I’m writing a simpler version below. The function of interest takes multiple geometric variables as inputs, and outputs lift (the objective) and volume (the constraint). I have followed some guides, and have my code setup in a way like this at the moment (this is an extremely simplified version for brevity):
obj = fcn2optimexpr(@lift_fun,x1,x2,x3,x4,x5);
prob = optimproblem("Objective",1/obj);

const1 = fcn2optimexpr(@volume_fun,x1,x2,x3,x4,x5);
prob.Constraints.vol = const1 >= 5;

x0 = [1 2 3 4 5];

[sol] = solve(prob,x0,"Solver","patternsearch","Options",options);

function [lift] = lift_fun(w,n,beta,epsS,p2,p3,Mdesign)
[lift,~] = master_function(x1,x2,x3,x4,x5);
end

function [volume] = volume_fun(w,n,beta,epsS,p2,p3,Mdesign)
[~,volume] = master_function(x1,x2,x3,x4,x5);
end
As I understand it, this code is calling the function ‘master_function’ twice for every optimization loop. This is a problem because this function takes up to a minute to run every time. Because of this I am wondering if it is possible to edit this code so that ‘master_function’ is only called once, providing both the objective and the constraint for the patternsearch optimization? Thank you for your help optimization, functions MATLAB Answers — New Questions

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