Is it possible to increase the performance by representing the values of the variables in each iteration of the loop?
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I'm doing a genetic algorithm to solve the TSP problem and I'm trying to plot the result in each iteration, but I'm obtaining a bad performance. I would like to know how to improve the code to achieve better efficiency.
Is it possible to increase the performance by representing the values of the variables in each iteration of the loop?
while iga<maxit
%.......
iga=iga+1; %
rte = pop(1,:); %Best Route
subplot(1,2,1)
plot(model.x(rte),model.y(rte),'r','Marker','o','MarkerEdgeColor','black', 'MarkerFaceColor','white','MarkerSize',12);
title(sprintf('Total Distance = %1.2f, Iteration = %d',cost(1),iga));
vxlabels = arrayfun(@(n) {sprintf('%d', n)}, (1:length(model.dt.Points))'); %Number of each point
Hpl = text(model.x, model.y, vxlabels, 'FontWeight', 'bold', 'HorizontalAlignment',...
'center', 'BackgroundColor', 'none','FontSize',10)
subplot(1,2,2)
plot((1:iga-1),minc(1:iga-1),(1:iga-1),meanc(1:iga-1));
title('Convergence');
drawnow limitrate;
%.......
end
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Walter Roberson
2019년 2월 28일
If you are talking about graphics performance, then you could plot less often, or you could improve the code for doing the plotting.
But perhaps you are talking about the performance of your GA algorithm in the sense of it taking a long time per iteration, or in the sense of it taking a long time to make useful improvements in position?
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Walter Roberson
2019년 3월 1일
ax1 = subplot(1,2,1);
ax2 = subplot(1,2,2);
linehandle1 = line(ax1, nan, nan, 'r', 'Marker', 'o', 'MarkerEdgeColor', 'black', 'MarkerFaceColor', 'white', 'MarkerSize', 12);
Hpl = [];
title1 = title('Total Distance and iteration');
linehandle2a = line(ax2, nan, nan);
linehandle2b = line(ax2, nan, nan);
title(ax2, 'Convergence');
while iga<maxit
%.......
iga=iga+1; %
rte = pop(1,:); %Best Route
set(linehandl1, 'XData', model.x(rte), 'YData', model.y(rte));
set(title1, 'string', sprintf('Total Distance = %1.2f, Iteration = %d',cost(1),iga));
vxlabels = arrayfun(@(n) {sprintf('%d', n)}, (1:length(model.dt.Points))'); %Number of each point
if ~isempty(Hpl); delete(Hpl); end
Hpl = text(model.x, model.y, vxlabels, 'FontWeight', 'bold', 'HorizontalAlignment',...
'center', 'BackgroundColor', 'none','FontSize',10)
set(linehandle2a, 'XData', 1:iga-1, 'YData', minc(1:iga-1));
set(linehandle2b, 'XData', 1:iga-1, 'YData', meanc(1:iga-1));
drawnow limitrate;
%.......
end
Although it might in theory be more efficient to update all of the text objects rather than creating new ones, there is one text object per label and so changing them all becomes a bit messier. It is possible even without loop, but it involves some advanced features.
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Walter Roberson
2019년 3월 1일
ax1 = subplot(1,2,1);
ax2 = subplot(1,2,2);
linehandle1 = line(ax1, nan, nan, 'r', 'Marker', 'o', 'MarkerEdgeColor', 'black', 'MarkerFaceColor', 'white', 'MarkerSize', 12);
Hpl = text(model.x, model.y, {}, 'FontWeight', 'bold', 'HorizontalAlignment',...
'center', 'BackgroundColor', 'none','FontSize',10);
title1 = title('Total Distance and iteration');
linehandle2a = line(ax2, nan, nan);
linehandle2b = line(ax2, nan, nan);
title(ax2, 'Convergence');
while iga<maxit
%.......
iga=iga+1; %
rte = pop(1,:); %Best Route
set(linehandl1, 'XData', model.x(rte), 'YData', model.y(rte));
set(title1, 'string', sprintf('Total Distance = %1.2f, Iteration = %d',cost(1),iga));
vxlabels = num2str(rte(:));
set(Hpl, {'String'}, vxlabels);
set(linehandle2a, 'XData', 1:iga-1, 'YData', minc(1:iga-1));
set(linehandle2b, 'XData', 1:iga-1, 'YData', meanc(1:iga-1));
drawnow limitrate;
%.......
end
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