Hi everyone,
I have 3 non-quadratic/nonlinear profit functions (see below) in terms of 3 parameters which are alfa, F and delta.
To find for which alfa and F values which profit function is optimum, I need to compare these 3 profit functions and draw a plot based on alfa (x-axis) and F (y-axis) also alfa=F=[0, 1].
Manually I know how to solve it by I couldn't find a way to code it in Matlab.
I would appreciate if anyone can help me. Many thanks in advance!
totalprofit1=(8*F*(delta^3 - 3*delta^2 + 4*delta - 2))/((delta - 2)^2*(8*F*delta - 8*alfa - 4*delta - 12*F + 8*alfa*delta - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 4))
totalprofit2 =((delta - 1)^2*(- alfa^2 + 2*alfa + 4*F - 1)*(alfa^2 - 2*alfa - 4*F + 2*F*delta + 1)^2)/(4*(- 32*F^3*delta^3 + 112*F^3*delta^2 - 128*F^3*delta + 48*F^3 + 8*F^2*alfa^2*delta^3 - 56*F^2*alfa^2*delta^2 + 88*F^2*alfa^2*delta - 40*F^2*alfa^2 + 8*F^2*alfa*delta^4 - 40*F^2*alfa*delta^3 + 136*F^2*alfa*delta^2 - 184*F^2*alfa*delta + 80*F^2*alfa - 8*F^2*delta^4 + 32*F^2*delta^3 - 80*F^2*delta^2 + 96*F^2*delta - 40*F^2 + 6*F*alfa^4*delta^2 - 18*F*alfa^4*delta + 11*F*alfa^4 - 2*F*alfa^3*delta^4 + 12*F*alfa^3*delta^3 - 40*F*alfa^3*delta^2 + 78*F*alfa^3*delta - 44*F*alfa^3 + 5*F*alfa^2*delta^4 - 34*F*alfa^2*delta^3 + 83*F*alfa^2*delta^2 - 126*F*alfa^2*delta + 66*F*alfa^2 - 4*F*alfa*delta^4 + 32*F*alfa*delta^3 - 70*F*alfa*delta^2 + 90*F*alfa*delta - 44*F*alfa + F*delta^4 - 10*F*delta^3 + 21*F*delta^2 - 24*F*delta + 11*F + alfa^6*delta - alfa^6 - alfa^5*delta^3 + 2*alfa^5*delta^2 - 7*alfa^5*delta + 6*alfa^5 + 5*alfa^4*delta^3 - 10*alfa^4*delta^2 + 20*alfa^4*delta - 15*alfa^4 - 10*alfa^3*delta^3 + 20*alfa^3*delta^2 - 30*alfa^3*delta + 20*alfa^3 + 10*alfa^2*delta^3 - 20*alfa^2*delta^2 + 25*alfa^2*delta - 15*alfa^2 - 5*alfa*delta^3 + 10*alfa*delta^2 - 11*alfa*delta + 6*alfa + delta^3 - 2*delta^2 + 2*delta - 1))
totalprofit3 =-((delta - 2)^2*(2*F^2*delta^5 - 19*F^2*delta^4 + 72*F^2*delta^3 - 136*F^2*delta^2 + 128*F^2*delta - 48*F^2 + F*alfa^2*delta^4 - 10*F*alfa^2*delta^3 + 35*F*alfa^2*delta^2 - 52*F*alfa^2*delta + 28*F*alfa^2 - 2*F*alfa*delta^4 + 20*F*alfa*delta^3 - 70*F*alfa*delta^2 + 104*F*alfa*delta - 56*F*alfa + F*delta^4 - 14*F*delta^3 + 57*F*delta^2 - 92*F*delta + 52*F - alfa^4*delta^2 + 4*alfa^4*delta - 4*alfa^4 + 4*alfa^3*delta^2 - 16*alfa^3*delta + 16*alfa^3 - 6*alfa^2*delta^2 + 28*alfa^2*delta - 30*alfa^2 + 4*alfa*delta^2 - 24*alfa*delta + 28*alfa - delta^2 + 10*delta - 13))/(4*(20*F*delta - 8*alfa - 6*delta - 12*F + 8*alfa*delta - 11*F*delta^2 + 2*F*delta^3 - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 7)^2)

 Akzeptierte Antwort

Torsten
Torsten am 30 Jan. 2023
Bearbeitet: Torsten am 30 Jan. 2023

0 Stimmen

I suggest you evaluate the three profit functions for a rectangular region [alpha_min,alpha_max] x [ F_min,F_max] and introduce a third variable profit_max that is 1 if the first profit function is maximum, 2 if the second profit function is maximum and 3 if the third profit function is maximum. Then use "contourf" to plot z in the region [alpha_min,alpha_max] x [ F_min,F_max].
delta = 1;
totalprofit1=@(F,alfa)(8*F*(delta^3 - 3*delta^2 + 4*delta - 2))/((delta - 2)^2*(8*F*delta - 8*alfa - 4*delta - 12*F + 8*alfa*delta - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 4));
totalprofit2 =@(F,alfa)((delta - 1)^2*(- alfa^2 + 2*alfa + 4*F - 1)*(alfa^2 - 2*alfa - 4*F + 2*F*delta + 1)^2)/(4*(- 32*F^3*delta^3 + 112*F^3*delta^2 - 128*F^3*delta + 48*F^3 + 8*F^2*alfa^2*delta^3 - 56*F^2*alfa^2*delta^2 + 88*F^2*alfa^2*delta - 40*F^2*alfa^2 + 8*F^2*alfa*delta^4 - 40*F^2*alfa*delta^3 + 136*F^2*alfa*delta^2 - 184*F^2*alfa*delta + 80*F^2*alfa - 8*F^2*delta^4 + 32*F^2*delta^3 - 80*F^2*delta^2 + 96*F^2*delta - 40*F^2 + 6*F*alfa^4*delta^2 - 18*F*alfa^4*delta + 11*F*alfa^4 - 2*F*alfa^3*delta^4 + 12*F*alfa^3*delta^3 - 40*F*alfa^3*delta^2 + 78*F*alfa^3*delta - 44*F*alfa^3 + 5*F*alfa^2*delta^4 - 34*F*alfa^2*delta^3 + 83*F*alfa^2*delta^2 - 126*F*alfa^2*delta + 66*F*alfa^2 - 4*F*alfa*delta^4 + 32*F*alfa*delta^3 - 70*F*alfa*delta^2 + 90*F*alfa*delta - 44*F*alfa + F*delta^4 - 10*F*delta^3 + 21*F*delta^2 - 24*F*delta + 11*F + alfa^6*delta - alfa^6 - alfa^5*delta^3 + 2*alfa^5*delta^2 - 7*alfa^5*delta + 6*alfa^5 + 5*alfa^4*delta^3 - 10*alfa^4*delta^2 + 20*alfa^4*delta - 15*alfa^4 - 10*alfa^3*delta^3 + 20*alfa^3*delta^2 - 30*alfa^3*delta + 20*alfa^3 + 10*alfa^2*delta^3 - 20*alfa^2*delta^2 + 25*alfa^2*delta - 15*alfa^2 - 5*alfa*delta^3 + 10*alfa*delta^2 - 11*alfa*delta + 6*alfa + delta^3 - 2*delta^2 + 2*delta - 1));
totalprofit3 =@(F,alfa)-((delta - 2)^2*(2*F^2*delta^5 - 19*F^2*delta^4 + 72*F^2*delta^3 - 136*F^2*delta^2 + 128*F^2*delta - 48*F^2 + F*alfa^2*delta^4 - 10*F*alfa^2*delta^3 + 35*F*alfa^2*delta^2 - 52*F*alfa^2*delta + 28*F*alfa^2 - 2*F*alfa*delta^4 + 20*F*alfa*delta^3 - 70*F*alfa*delta^2 + 104*F*alfa*delta - 56*F*alfa + F*delta^4 - 14*F*delta^3 + 57*F*delta^2 - 92*F*delta + 52*F - alfa^4*delta^2 + 4*alfa^4*delta - 4*alfa^4 + 4*alfa^3*delta^2 - 16*alfa^3*delta + 16*alfa^3 - 6*alfa^2*delta^2 + 28*alfa^2*delta - 30*alfa^2 + 4*alfa*delta^2 - 24*alfa*delta + 28*alfa - delta^2 + 10*delta - 13))/(4*(20*F*delta - 8*alfa - 6*delta - 12*F + 8*alfa*delta - 11*F*delta^2 + 2*F*delta^3 - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 7)^2);
n = 100;
alfa = linspace(0,1,n);
F = linspace(0,1,n);
[F,alfa] = meshgrid(F,alfa);
for i=1:n
for j=1:n
f = F(i,j);
a = alfa(i,j);
z1 = totalprofit1(f,a);
z2 = totalprofit2(f,a);
z3 = totalprofit3(f,a);
[~,index] = max([z1,z2,z3]);
profit_max(i,j) = index;
end
end
contourf(F,alfa,profit_max)
colorbar

4 Kommentare

Melda Hasiloglu
Melda Hasiloglu am 31 Jan. 2023
Bearbeitet: Melda Hasiloglu am 31 Jan. 2023
Hi Torsten,
Many thanks!
I tried it and it works I obtained the same graph as my approach! Mine was as follows, it takes a long time though. However, I still think there must be another solution.
syms F alfa
delta=0.8
x2=[]
y2=[]
x3=[]
y3=[]
x4=[]
y4=[]
for alfa=0:0.005:1
for F=0:0.005:1
totalprofit1=(8*F*(delta^3 - 3*delta^2 + 4*delta - 2))/((delta - 2)^2*(8*F*delta - 8*alfa - 4*delta - 12*F + 8*alfa*delta - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 4))
totalprofit2 =((delta - 1)^2*(- alfa^2 + 2*alfa + 4*F - 1)*(alfa^2 - 2*alfa - 4*F + 2*F*delta + 1)^2)/(4*(- 32*F^3*delta^3 + 112*F^3*delta^2 - 128*F^3*delta + 48*F^3 + 8*F^2*alfa^2*delta^3 - 56*F^2*alfa^2*delta^2 + 88*F^2*alfa^2*delta - 40*F^2*alfa^2 + 8*F^2*alfa*delta^4 - 40*F^2*alfa*delta^3 + 136*F^2*alfa*delta^2 - 184*F^2*alfa*delta + 80*F^2*alfa - 8*F^2*delta^4 + 32*F^2*delta^3 - 80*F^2*delta^2 + 96*F^2*delta - 40*F^2 + 6*F*alfa^4*delta^2 - 18*F*alfa^4*delta + 11*F*alfa^4 - 2*F*alfa^3*delta^4 + 12*F*alfa^3*delta^3 - 40*F*alfa^3*delta^2 + 78*F*alfa^3*delta - 44*F*alfa^3 + 5*F*alfa^2*delta^4 - 34*F*alfa^2*delta^3 + 83*F*alfa^2*delta^2 - 126*F*alfa^2*delta + 66*F*alfa^2 - 4*F*alfa*delta^4 + 32*F*alfa*delta^3 - 70*F*alfa*delta^2 + 90*F*alfa*delta - 44*F*alfa + F*delta^4 - 10*F*delta^3 + 21*F*delta^2 - 24*F*delta + 11*F + alfa^6*delta - alfa^6 - alfa^5*delta^3 + 2*alfa^5*delta^2 - 7*alfa^5*delta + 6*alfa^5 + 5*alfa^4*delta^3 - 10*alfa^4*delta^2 + 20*alfa^4*delta - 15*alfa^4 - 10*alfa^3*delta^3 + 20*alfa^3*delta^2 - 30*alfa^3*delta + 20*alfa^3 + 10*alfa^2*delta^3 - 20*alfa^2*delta^2 + 25*alfa^2*delta - 15*alfa^2 - 5*alfa*delta^3 + 10*alfa*delta^2 - 11*alfa*delta + 6*alfa + delta^3 - 2*delta^2 + 2*delta - 1))
totalprofit3 =-((delta - 2)^2*(2*F^2*delta^5 - 19*F^2*delta^4 + 72*F^2*delta^3 - 136*F^2*delta^2 + 128*F^2*delta - 48*F^2 + F*alfa^2*delta^4 - 10*F*alfa^2*delta^3 + 35*F*alfa^2*delta^2 - 52*F*alfa^2*delta + 28*F*alfa^2 - 2*F*alfa*delta^4 + 20*F*alfa*delta^3 - 70*F*alfa*delta^2 + 104*F*alfa*delta - 56*F*alfa + F*delta^4 - 14*F*delta^3 + 57*F*delta^2 - 92*F*delta + 52*F - alfa^4*delta^2 + 4*alfa^4*delta - 4*alfa^4 + 4*alfa^3*delta^2 - 16*alfa^3*delta + 16*alfa^3 - 6*alfa^2*delta^2 + 28*alfa^2*delta - 30*alfa^2 + 4*alfa*delta^2 - 24*alfa*delta + 28*alfa - delta^2 + 10*delta - 13))/(4*(20*F*delta - 8*alfa - 6*delta - 12*F + 8*alfa*delta - 11*F*delta^2 + 2*F*delta^3 - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 7)^2)
if totalprofit1 > totalprofit2 & totalprofit1 > totalprofit3
x2(end+1)=alfa
y2(end+1)=F
end
if totalprofit2 > totalprofit1 & totalprofit2 > totalprofit3
x3(end+1)=alfa
y3(end+1)=F
end
if totalprofit3 > totalprofit1 & totalprofit3 > totalprofit2
x4(end+1)=alfa
y4(end+1)=F
end
end
end
figure
plot(x2,y2,'b',x3,y3,'g',x4,y4,'r')
profit1 = @(alfa,F) alfa.*F+0.1;
profit2 = @(alfa,F) alfa.*F.^2+0.2;
profit3 = @(alfa,F) alfa.^2.*F+0.15;
alfa = 0:0.005:1;
f = 0:0.005:1;
[Alfa,F] = meshgrid(alfa,f);
[~,idx] = arrayfun(@(Alfa,F)max([profit1(Alfa,F),profit2(Alfa,F),profit3(Alfa,F)]),Alfa,F);
contourf(Alfa,F,idx)
colorbar
Hi Torsten,
I add some conditions for each profit function but it doesn't work can you please have a look at?
My aim is: For example, if totalprofit1 is maximum and if it meets the condition 1 then color it blue, if doesn't meet than color it black.
totalprofit1=@(alfa,F)(8*F*(delta^3 - 3*delta^2 + 4*delta - 2))/((delta - 2)^2*(8*F*delta - 8*alfa - 4*delta - 12*F + 8*alfa*delta - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 4));
totalprofit2 =@(alfa,F)((delta - 1)^2*(- alfa^2 + 2*alfa + 4*F - 1)*(alfa^2 - 2*alfa - 4*F + 2*F*delta + 1)^2)/(4*(- 32*F^3*delta^3 + 112*F^3*delta^2 - 128*F^3*delta + 48*F^3 + 8*F^2*alfa^2*delta^3 - 56*F^2*alfa^2*delta^2 + 88*F^2*alfa^2*delta - 40*F^2*alfa^2 + 8*F^2*alfa*delta^4 - 40*F^2*alfa*delta^3 + 136*F^2*alfa*delta^2 - 184*F^2*alfa*delta + 80*F^2*alfa - 8*F^2*delta^4 + 32*F^2*delta^3 - 80*F^2*delta^2 + 96*F^2*delta - 40*F^2 + 6*F*alfa^4*delta^2 - 18*F*alfa^4*delta + 11*F*alfa^4 - 2*F*alfa^3*delta^4 + 12*F*alfa^3*delta^3 - 40*F*alfa^3*delta^2 + 78*F*alfa^3*delta - 44*F*alfa^3 + 5*F*alfa^2*delta^4 - 34*F*alfa^2*delta^3 + 83*F*alfa^2*delta^2 - 126*F*alfa^2*delta + 66*F*alfa^2 - 4*F*alfa*delta^4 + 32*F*alfa*delta^3 - 70*F*alfa*delta^2 + 90*F*alfa*delta - 44*F*alfa + F*delta^4 - 10*F*delta^3 + 21*F*delta^2 - 24*F*delta + 11*F + alfa^6*delta - alfa^6 - alfa^5*delta^3 + 2*alfa^5*delta^2 - 7*alfa^5*delta + 6*alfa^5 + 5*alfa^4*delta^3 - 10*alfa^4*delta^2 + 20*alfa^4*delta - 15*alfa^4 - 10*alfa^3*delta^3 + 20*alfa^3*delta^2 - 30*alfa^3*delta + 20*alfa^3 + 10*alfa^2*delta^3 - 20*alfa^2*delta^2 + 25*alfa^2*delta - 15*alfa^2 - 5*alfa*delta^3 + 10*alfa*delta^2 - 11*alfa*delta + 6*alfa + delta^3 - 2*delta^2 + 2*delta - 1));
totalprofit3 =@(alfa,F)-((delta - 2)^2*(2*F^2*delta^5 - 19*F^2*delta^4 + 72*F^2*delta^3 - 136*F^2*delta^2 + 128*F^2*delta - 48*F^2 + F*alfa^2*delta^4 - 10*F*alfa^2*delta^3 + 35*F*alfa^2*delta^2 - 52*F*alfa^2*delta + 28*F*alfa^2 - 2*F*alfa*delta^4 + 20*F*alfa*delta^3 - 70*F*alfa*delta^2 + 104*F*alfa*delta - 56*F*alfa + F*delta^4 - 14*F*delta^3 + 57*F*delta^2 - 92*F*delta + 52*F - alfa^4*delta^2 + 4*alfa^4*delta - 4*alfa^4 + 4*alfa^3*delta^2 - 16*alfa^3*delta + 16*alfa^3 - 6*alfa^2*delta^2 + 28*alfa^2*delta - 30*alfa^2 + 4*alfa*delta^2 - 24*alfa*delta + 28*alfa - delta^2 + 10*delta - 13))/(4*(20*F*delta - 8*alfa - 6*delta - 12*F + 8*alfa*delta - 11*F*delta^2 + 2*F*delta^3 - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 7)^2);
alfa = 0:0.005:1;
f = 0:0.005:1;
delta=0.8
[Alfa,F] = meshgrid(alfa,f);
[~,idx] = arrayfun(@(Alfa,F)max([totalprofit1(Alfa,F),totalprofit2(Alfa,F),totalprofit3(Alfa,F)]),Alfa,F);
if max([totalprofit1(Alfa,F),totalprofit2(Alfa,F),totalprofit3(Alfa,F)])==totalprofit1(Alfa,F)
%%condition 1
if - (Alfa - 1)^2 - (2*F*(4*delta - 6))/(delta - 2)^2>0 &((Alfa - 1)*(2*N - 4*delta - 4*Alfa*delta + 6))/(delta + Alfa*delta - 2)^2<0 & - (Alfa - 1)^2 - (2*F*(Alfa - 1)*(2*Alfa - 4*delta - 4*Alfa*delta + 6))/(delta + Alfa*delta - 2)^2 >0
contourf(Alfa,F,idx, 'b')
else
contourf(Alfa,F,idx, 'k')
end
end
if max([totalprofit1(Alfa,F),totalprofit2(Alfa,F),totalprofit3(Alfa,F)])==totalprofit2(Alfa,F)
%%condition 2
if 4*F>(1-Alfa)^2 & delta <(0.5*(4.0*F + Alfa - 1.0*(16.0*F^2 - 8.0*F*Alfa + 8.0*F + 4.0*Alfa^3 - 11.0*Alfa^2 + 10.0*Alfa - 3.0)^(1/2) - 1.0))/(Alfa - 1.0) & delta< (1.0*(F*Alfa - 2.0*Alfa - 4.0*F + Alfa^2 + 1.0))/(2.0*F*Alfa - 2.0*Alfa - 4.0*F + Alfa^2 + 1.0)
contourf(Alfa,F,idx, 'g')
else
contourf(Alfa,F,idx, 'k')
end
end
if max([totalprofit1(Alfa,F),totalprofit2(Alfa,F),totalprofit3(Alfa,F)])==totalprofit3(Alfa,F)
%%condition 3
if -(4*(Alfa^2 - 2*Alfa - 3*F + 2*F*delta + 1))/(delta - 2)^2>0 & Alfa <1 & (3*F+F*Alfa-2*F*delta+Alfa*delta^2-delta^2-2*F*Alfa*delta)>0
contourf(Alfa,F,idx, 'b')
else
contourf(Alfa,F,idx, 'k')
end
end
colorbar
Torsten
Torsten am 1 Feb. 2023
Bearbeitet: Torsten am 1 Feb. 2023
Maybe you can even choose the color for a certain value of Fun. Ad hoc, I can't.
Don't forget to set N to the correct value.
delta=0.8;
N = 1;
totalprofit1=@(alfa,F)(8*F*(delta^3 - 3*delta^2 + 4*delta - 2))/((delta - 2)^2*(8*F*delta - 8*alfa - 4*delta - 12*F + 8*alfa*delta - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 4));
totalprofit2 =@(alfa,F)((delta - 1)^2*(- alfa^2 + 2*alfa + 4*F - 1)*(alfa^2 - 2*alfa - 4*F + 2*F*delta + 1)^2)/(4*(- 32*F^3*delta^3 + 112*F^3*delta^2 - 128*F^3*delta + 48*F^3 + 8*F^2*alfa^2*delta^3 - 56*F^2*alfa^2*delta^2 + 88*F^2*alfa^2*delta - 40*F^2*alfa^2 + 8*F^2*alfa*delta^4 - 40*F^2*alfa*delta^3 + 136*F^2*alfa*delta^2 - 184*F^2*alfa*delta + 80*F^2*alfa - 8*F^2*delta^4 + 32*F^2*delta^3 - 80*F^2*delta^2 + 96*F^2*delta - 40*F^2 + 6*F*alfa^4*delta^2 - 18*F*alfa^4*delta + 11*F*alfa^4 - 2*F*alfa^3*delta^4 + 12*F*alfa^3*delta^3 - 40*F*alfa^3*delta^2 + 78*F*alfa^3*delta - 44*F*alfa^3 + 5*F*alfa^2*delta^4 - 34*F*alfa^2*delta^3 + 83*F*alfa^2*delta^2 - 126*F*alfa^2*delta + 66*F*alfa^2 - 4*F*alfa*delta^4 + 32*F*alfa*delta^3 - 70*F*alfa*delta^2 + 90*F*alfa*delta - 44*F*alfa + F*delta^4 - 10*F*delta^3 + 21*F*delta^2 - 24*F*delta + 11*F + alfa^6*delta - alfa^6 - alfa^5*delta^3 + 2*alfa^5*delta^2 - 7*alfa^5*delta + 6*alfa^5 + 5*alfa^4*delta^3 - 10*alfa^4*delta^2 + 20*alfa^4*delta - 15*alfa^4 - 10*alfa^3*delta^3 + 20*alfa^3*delta^2 - 30*alfa^3*delta + 20*alfa^3 + 10*alfa^2*delta^3 - 20*alfa^2*delta^2 + 25*alfa^2*delta - 15*alfa^2 - 5*alfa*delta^3 + 10*alfa*delta^2 - 11*alfa*delta + 6*alfa + delta^3 - 2*delta^2 + 2*delta - 1));
totalprofit3 =@(alfa,F)-((delta - 2)^2*(2*F^2*delta^5 - 19*F^2*delta^4 + 72*F^2*delta^3 - 136*F^2*delta^2 + 128*F^2*delta - 48*F^2 + F*alfa^2*delta^4 - 10*F*alfa^2*delta^3 + 35*F*alfa^2*delta^2 - 52*F*alfa^2*delta + 28*F*alfa^2 - 2*F*alfa*delta^4 + 20*F*alfa*delta^3 - 70*F*alfa*delta^2 + 104*F*alfa*delta - 56*F*alfa + F*delta^4 - 14*F*delta^3 + 57*F*delta^2 - 92*F*delta + 52*F - alfa^4*delta^2 + 4*alfa^4*delta - 4*alfa^4 + 4*alfa^3*delta^2 - 16*alfa^3*delta + 16*alfa^3 - 6*alfa^2*delta^2 + 28*alfa^2*delta - 30*alfa^2 + 4*alfa*delta^2 - 24*alfa*delta + 28*alfa - delta^2 + 10*delta - 13))/(4*(20*F*delta - 8*alfa - 6*delta - 12*F + 8*alfa*delta - 11*F*delta^2 + 2*F*delta^3 - 2*alfa*delta^2 - 4*alfa^2*delta + 4*alfa^2 + delta^2 + alfa^2*delta^2 + 7)^2);
alfa = 0:0.005:1;
f = 0:0.005:1;
for i = 1:numel(alfa)
Alfa = alfa(i);
for j = 1:numel(f)
F = f(j);
t1 = totalprofit1(Alfa,F);
t2 = totalprofit2(Alfa,F);
t3 = totalprofit3(Alfa,F);
[tmax,idx] = max([t1,t2,t3]);
if idx==1
if - (Alfa - 1)^2 - (2*F*(4*delta - 6))/(delta - 2)^2>0 &((Alfa - 1)*(2*N - 4*delta - 4*Alfa*delta + 6))/(delta + Alfa*delta - 2)^2<0 & - (Alfa - 1)^2 - (2*F*(Alfa - 1)*(2*Alfa - 4*delta - 4*Alfa*delta + 6))/(delta + Alfa*delta - 2)^2 >0
Fun(i,j) = 1;
else
Fun(i,j) = 2;
end
end
if idx==2
if 4*F>(1-Alfa)^2 & delta <(0.5*(4.0*F + Alfa - 1.0*(16.0*F^2 - 8.0*F*Alfa + 8.0*F + 4.0*Alfa^3 - 11.0*Alfa^2 + 10.0*Alfa - 3.0)^(1/2) - 1.0))/(Alfa - 1.0) & delta< (1.0*(F*Alfa - 2.0*Alfa - 4.0*F + Alfa^2 + 1.0))/(2.0*F*Alfa - 2.0*Alfa - 4.0*F + Alfa^2 + 1.0)
Fun(i,j) = 3;
else
Fun(i,j) = 4;
end
end
if idx==3
if -(4*(Alfa^2 - 2*Alfa - 3*F + 2*F*delta + 1))/(delta - 2)^2>0 & Alfa <1 & (3*F+F*Alfa-2*F*delta+Alfa*delta^2-delta^2-2*F*Alfa*delta)>0
Fun(i,j) = 5;
else
Fun(i,j) = 6;
end
end
end
end
colormap(jet(6))
contourf(alfa,f,Fun)
colorbar('Ticks',1:6,'TickLabels',["1" "2" "3" "4" "5" "6" " "]);

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (1)

Alan Weiss
Alan Weiss am 30 Jan. 2023

0 Stimmen

This sounds like a multiobjective optimization problem. See Generate and Plot Pareto Front and, if you have Global Optimization Toolbox, Multiobjective Optimization.
Alan Weiss
MATLAB mathematical toolbox documentation

2 Kommentare

Melda Hasiloglu
Melda Hasiloglu am 30 Jan. 2023
Hi Alan,
Thanks for your reply. Did you mean that I can solve this by using the same approach as multiobjective optimization? Because my problem isn't multiobjective and the provided profit functions are already the optimal functions which I obtained them after several calculations. My current goal is to compare these 3 scenarios based on parameters, alfa and F.
Alan Weiss
Alan Weiss am 30 Jan. 2023
I do not understand your problem. You say that you have three objective functions. But you say that you do not have a multiobjective problem. So what are you trying to do? I do not understand what "compare these 3 scenarios based on parameters, alfa and F" means.
Alan Weiss
MATLAB mathematical toolbox documentation

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Signal Generation, Analysis, and Preprocessing finden Sie in Hilfe-Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by