我是Matlab的新手,现在正尝试解决将粒子群优化(PSO)算法应用于位于半球表面的阴影部分的问题。
已经形成了一个在其表面上具有阴影区域的半球,并尝试了PSO算法代码,但无法以某种方式将它们组合在一起,或者按照所述将算法应用于其表面。
我希望点将随机分布在位于半球表面的阴影区域上,然后,将形成一条穿过所有点的路径,每个点都指向半球的中心
代码如下:
clc; clear; close all;
%% Initialization
swarmsize = 100;
iterations = 50;
inertia = 1.0;
correction_factor = 2.0;
%% Initial swarm position
swarm = zeros(100,7);
step = 1;
for i = 1 : 100
swarm(step, 1:7) = i;
step = step + 1;
end
swarm(:, 7) = 50;
swarm(:, 5) = 0;
swarm(:, 6) = 0;
%% Main Loop of PSO
for iter = 1:iterations
% Update position
for i = 1 : swarmsize
swarm(i, 1) = swarm(i, 1) + swarm(i, 5)/1.2 ;
swarm(i, 2) = swarm(i, 2) + swarm(i, 6)/1.2 ;
u = swarm(i, 1);
v = swarm(i, 2);
value = (u - 20)^2 + (v - 10)^2;
if value < swarm(i, 7)
swarm(i, 3) = swarm(i, 1);
swarm(i, 4) = swarm(i, 2);
swarm(i, 7) = value;
end
end
[temp, gbest] = min(swarm(:, 7));
% Update velocity
for i = 1 : swarmsize
swarm(i, 5) = rand*inertia*swarm(i, 5) + correction_factor*rand*(swarm(i, 3)...
- swarm(i, 1)) + correction_factor*rand*(swarm(gbest, 3) - swarm(i, 1)); % u velocity parameters
swarm(i, 6) = rand*inertia*swarm(i, 6) + correction_factor*rand*(swarm(i, 4)...
- swarm(i, 2)) + correction_factor*rand*(swarm(gbest, 4) - swarm(i, 2)); % v velocity parameters
end
%% Plot the hemisphere
[x,y,z] = sphere;
x = x(11:end,:);
y = y(11:end,:);
z = z(11:end,:);
r= 0.13;
c = [0.36 0 0];
hs = surf(r.*x+c(1),r.*y,r.*z,'FaceColor','yellow','FaceAlpha',.3);
axis equal
xlabel('X');ylabel('Y');zlabel('Z');
hold on;
%% Putting the ranges for the elevation and azimuth
minAzimuth = 0;
maxAzimuth = 180;
minElevation = 0;
maxElevation = 80;
%% Compute angles
phi = atan2d(y,x);
theta = acosd (z);
%% Highlighting logic (Shading the subset of the hemisphere)
ind = (phi >= minAzimuth & phi <= maxAzimuth) & (theta >= minElevation & theta <= maxElevation);
x2 = x; y2 = y; z2 = z;
x2(~ind) = NaN; y2(~ind) = NaN; z2(~ind)=NaN;
hold on;
surf(r.*x2+c(1),r.*y2,r.*z2,'FaceColor','red');
%%Plot the particles
plot3(swarm(:,1), swarm(:,2), swarm(:,7),'x');
pause(.1);
end