Matlab Pso算法
Matlab Pso Algorithm
我正在尝试使用 MATLAB 中的 PSO 优化器解决符号优化问题。变量 r x a c n theta z 是符号变量,CD 是通过对 r 积分计算的。
CD 是具有自由变量 a、n、theta 和 lb 的 objective 函数,并且 ub 是边界。完整代码如下:
syms r x a c n theta z
assume(n,'positive');
D=0.24;
L=2;
f=L/D;
b=.8;
a0=0.02;
db=0.05;
V=1;
Re=(V*(D/2))/0.000001;
Cf=(0.075/(((log10(Re))-2)^2))+0.00025;
% Define r(x)
c=L-a-b-a0;
r1=0.5*D*(2*x/a)^(1/n);
I1=simplify(int(2*pi*r1,x,a0,a));
r2=D/2;
I2=simplify(int(2*pi*r2,x,a,a+b));
r3=(0.5*D)-((((3*D)/(2*(c)^2))-(tan(theta)/c))*(x-a-b)^2)+(((D/c^3 ...
(tand(theta)/c^2))*(x-a-b)^3);
I3=simplify(int(2*pi*r3,x,a+b,L));
A=simplify(I1+I2+I3);
Sn=pi*(D^2/4);
Cdstar=Cf*(1+(60*f^-3 )+(0.0025*f))*(A/(L^2));
Cdb=0.029*((db/D)^3)*(Cdstar^-0.5)*(Sn/(L^2));
CD=simplify(Cdstar+Cdb);
%optimization problem
objective=matlabFunction(CD,'Vars',[a,n,theta])
nVar=3;
lb = [deg2rad(5),0.25,a0];
ub = [deg2rad(60),5,L/2];
options =
optimoptions('particleswarm','SwarmSize',100,'HybridFcn',@fmincon);
[z,fval,exitflag,output] = particleswarm(objective,nVar,lb,ub,options)
这是我得到的错误:
@(a,n,theta)pi.*4.404634153141517e-4+pi.*1.0./sqrt(pi.4.404634153141517e-4-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)).9.440104166666668e-7-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)
Not enough input arguments.
Error in
symengine>@(a,n,theta)pi.*4.404634153141517e-4+pi.*1.0./sqrt(pi.4.404634153141517e-4-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)).9.440104166666668e-7-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)
Error in particleswarm>makeState (line 694)
firstFval = objFcn(state.Positions(1,:));
Error in particleswarm>pswcore (line 169) state =
makeState(nvars,lbMatrix,ubMatrix,objFcn,options);
Error in particleswarm (line 151) [x,fval,exitFlag,output] =
pswcore(objFcn,nvars,lbRow,ubRow,output,options);
Error in MYRING_SYMS_optimisation_K (line 56) [z,fval,exitflag,output]
= particleswarm(objective,nVar,lb,ub,options)
Caused by:
Failure in initial objective function evaluation. PARTICLESWARM cannot continue.
fun
只有一个参数,它是一个包含nvars
个元素的向量。来自 particleswarm
doc:
x = particleswarm(fun,nvars)
attempts to find a vector x that achieves a local minimum of fun
. nvars
is the dimension (number of design variables) of fun
.
因此您需要声明一个新的 objective 函数,它只接受 1 个参数:
[z,fval,exitflag,output] = particleswarm( ...
@(x) objective(x(1), x(2), x(3)), ...
nVar,lb,ub,options)
我正在尝试使用 MATLAB 中的 PSO 优化器解决符号优化问题。变量 r x a c n theta z 是符号变量,CD 是通过对 r 积分计算的。 CD 是具有自由变量 a、n、theta 和 lb 的 objective 函数,并且 ub 是边界。完整代码如下:
syms r x a c n theta z
assume(n,'positive');
D=0.24;
L=2;
f=L/D;
b=.8;
a0=0.02;
db=0.05;
V=1;
Re=(V*(D/2))/0.000001;
Cf=(0.075/(((log10(Re))-2)^2))+0.00025;
% Define r(x)
c=L-a-b-a0;
r1=0.5*D*(2*x/a)^(1/n);
I1=simplify(int(2*pi*r1,x,a0,a));
r2=D/2;
I2=simplify(int(2*pi*r2,x,a,a+b));
r3=(0.5*D)-((((3*D)/(2*(c)^2))-(tan(theta)/c))*(x-a-b)^2)+(((D/c^3 ...
(tand(theta)/c^2))*(x-a-b)^3);
I3=simplify(int(2*pi*r3,x,a+b,L));
A=simplify(I1+I2+I3);
Sn=pi*(D^2/4);
Cdstar=Cf*(1+(60*f^-3 )+(0.0025*f))*(A/(L^2));
Cdb=0.029*((db/D)^3)*(Cdstar^-0.5)*(Sn/(L^2));
CD=simplify(Cdstar+Cdb);
%optimization problem
objective=matlabFunction(CD,'Vars',[a,n,theta])
nVar=3;
lb = [deg2rad(5),0.25,a0];
ub = [deg2rad(60),5,L/2];
options =
optimoptions('particleswarm','SwarmSize',100,'HybridFcn',@fmincon);
[z,fval,exitflag,output] = particleswarm(objective,nVar,lb,ub,options)
这是我得到的错误:
@(a,n,theta)pi.*4.404634153141517e-4+pi.*1.0./sqrt(pi.4.404634153141517e-4-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)).9.440104166666668e-7-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)
Not enough input arguments.
Error in symengine>@(a,n,theta)pi.*4.404634153141517e-4+pi.*1.0./sqrt(pi.4.404634153141517e-4-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)).9.440104166666668e-7-pi.(a.*5.0-6.0).*1.0./(a.5.0e+1-5.9e+1).^3.(a.*2.32335e+6+tan((theta.*pi)./1.8e+2).*4.779e+6-tan(theta).*6.2658e+6-a.^2.*tan(theta).*2.655125e+7+a.^3.*tan(theta).*1.4875e+7-a.^4.*tan(theta).*3.125e+6-a.*tan((theta.*pi)./1.8e+2).*1.59975e+7+a.*tan(theta).*2.1063e+7+a.^2.*tan((theta.*pi)./1.8e+2).*2.008125e+7-a.^3.*tan((theta.*pi)./1.8e+2).*1.1203125e+7+a.^4.*tan((theta.*pi)./1.8e+2).*2.34375e+6-a.^2.*1.98e+6+a.^3.*5.625e+5-9.08811e+5).*1.223509486983755e-5-(n.pi.((a.*2.5e+1).^(-1.0./n)-2.0.^(1.0./n+1.0).*a.*2.5e+1).*1.101158538285379e-5)./(n+1.0)
Error in particleswarm>makeState (line 694) firstFval = objFcn(state.Positions(1,:));
Error in particleswarm>pswcore (line 169) state = makeState(nvars,lbMatrix,ubMatrix,objFcn,options);
Error in particleswarm (line 151) [x,fval,exitFlag,output] = pswcore(objFcn,nvars,lbRow,ubRow,output,options);
Error in MYRING_SYMS_optimisation_K (line 56) [z,fval,exitflag,output] = particleswarm(objective,nVar,lb,ub,options)
Caused by: Failure in initial objective function evaluation. PARTICLESWARM cannot continue.
fun
只有一个参数,它是一个包含nvars
个元素的向量。来自 particleswarm
doc:
x = particleswarm(fun,nvars)
attempts to find a vector x that achieves a local minimum offun
.nvars
is the dimension (number of design variables) offun
.
因此您需要声明一个新的 objective 函数,它只接受 1 个参数:
[z,fval,exitflag,output] = particleswarm( ...
@(x) objective(x(1), x(2), x(3)), ...
nVar,lb,ub,options)