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lens_set = [.075, .203, .05, .03];
lens_set = [.075, .203];
lens_permutations = pick(lens_set,3,'or');
n_perms = size(lens_permutations,1);
n_shuffles=10; %number of random placements of lenses
% ##########################################
% Sample Solution
lambda= 1.064E-6 ;
Ltot= 1.010675025828971 ;
r0= 1.0E+100 ;
w0= 2.563E-5 ;
x0= 0 ;
% focal_length1 = .075;
% focal_length2 = .075;
% focal_length3 = .203;
%
% lns1.abcd=abcd_lens( focal_length1 ) ;
% lns1.x= 0.21358727296049 ;
% lns2.abcd=abcd_lens( focal_length2 ) ;
% lns2.x= 0.40361319425309 ;
% lns3.abcd=abcd_lens( focal_length3 ) ;
% lns3.x= 0.80361319425309 ;
wf= 3.709E-5 ;
rf= 1.0E+100 ;
xf= Ltot;
q0=wr2q(w0,r0,lambda);
x0=0;
qf=wr2q(wf,rf,lambda);
xf=Ltot;
%
% optics={lns1,lns2,lns3};
% figure(1)
% w_final_handmade = solution_visualization(q0,x0, qf, xf, optics, lambda);
% title('Hand made');
%% ##########################################
%Initialize sample arrays
sample_energy = [];
sample_x = [];
possible_soln = [];
possible_lens_pos = [];
possible_sample_energy = [];
lens_size = .03;
for i = 1:n_perms
lenses_choice=lens_permutations(i,:)
for iteration = 1:n_shuffles
f3=lenses_choice(3);
x3=xf-f3; % last lense transfer collimated region to focused spot
optics_x_rand = sort(lens_size+(x3-2*lens_size)*rand(1,2));
optics_x_rand = [optics_x_rand, x3];
fitness_simplified=@(x) fitness(q0, qf, Ltot, x, lenses_choice, lambda );
[x_sol, energy]=fminsearch(fitness_simplified, optics_x_rand, optimset('TolX',1e-8,'TolFun',1e-8,'MaxFunEvals',1e8,'MaxIter',200));
sample_energy = [sample_energy; energy];
sample_x = [sample_x; x_sol];
%Return final Waist of trial
q_f_trial = gbeam_propagation(Ltot,q0,x0,optics_placer(x_sol, lenses_choice));
[waist, Radius] = q2wr(q_f_trial, lambda);
%If it is a good solution, add to list of possible solutions
waist_desired = wf;
compare_waist = abs(waist - waist_desired);
tolerance = 1E-6;
if compare_waist < tolerance
possible_soln = [possible_soln; x_sol];
possible_lens_pos = [possible_lens_pos; lenses_choice];
possible_sample_energy = [possible_sample_energy; energy];
end
%Visualize solution
figure(2)
solution_visualization(q0,x0, qf, xf, optics_placer(x_sol, lenses_choice), lambda);
title('Testing Points');
drawnow;
end
end
%Sorting possible solution according to energy
[possible_sample_energy, index] = sort(possible_sample_energy);
possible_soln = possible_soln(index,:);
possible_lens_pos = possible_lens_pos(index,:);
%Truncate other possible solutions to an accuracy of n decimal places
n=4;
possible_soln_trunc = round(possible_soln*10^n)./10^n;
[possible_soln_uniq, index] = unique(possible_soln_trunc,'rows','stable'); %Unique solutions only
%Visualize five best solutions
n_possible_soln = min(5,size(possible_soln_uniq,1));
for n_graph = 1:n_possible_soln
figure(n_graph+1)
w_final_trial = solution_visualization(q0,x0, qf, xf, optics_placer(possible_soln(index(n_graph),:), possible_lens_pos(index(n_graph),:)), lambda);
title('Other Solutions');
end
possible_soln(index(1:n_graph),:)
possible_lens_pos(index(1:n_graph),:)
possible_sample_energy(index(1:n_graph),:)
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