## Plot, fitness function.

### dhiman banerjee (view profile)

on 19 Nov 2019 at 14:58
Latest activity Commented on by dhiman banerjee

### dhiman banerjee (view profile)

on 19 Nov 2019 at 16:20
I have following data:
lb=[0.5 0.2 0.15 0.1 0.1 0.12];%%Lower limit of x(i)
ub=[2 0.8 0.5 0.35 0.3 0.4]; %%Upper Limit of x(i)
alpha=[0.00375 0.0175 0.06250 0.00834 0.0250 0.025];
beta=0.01*[200 175 100 325 300 300 ];
gama=[0 0 0 0 0 0];
fitness=0;
for i=1:size(alpha,2)
fitness=fitness+alpha(i)*(x(i)*100)^2+beta(i)*(x(i)*100)+gama(i);%%Fitness
end
F1=fitness;
I would like to plot the fitness function and all the six variables considering their limits.

KALYAN ACHARJYA

### KALYAN ACHARJYA (view profile)

on 19 Nov 2019 at 15:05
What is x here?
fitness vs??

### KALYAN ACHARJYA (view profile)

on 19 Nov 2019 at 15:24
Edited by KALYAN ACHARJYA

### KALYAN ACHARJYA (view profile)

on 19 Nov 2019 at 15:24

Please note I have consider random x value here, please change as per the data. Also there is no role of gama in fitness, as gama=all elements equal to zero
lb=[0.5 0.2 0.15 0.1 0.1 0.12];%%Lower limit of x(i)
ub=[2 0.8 0.5 0.35 0.3 0.4]; %%Upper Limit of x(i)
alpha=[0.00375 0.0175 0.06250 0.00834 0.0250 0.025];
beta=0.01*[200 175 100 325 300 300 ];
gama=[0 0 0 0 0 0];
x=rand(1,6); % Choosen random
result=zeros(1,6);
fitness=alpha.*(x*100).^2+beta.*(x.*100)+gama;
plot(fitness);

dhiman banerjee

### dhiman banerjee (view profile)

on 19 Nov 2019 at 15:34
X represents control variables, which are six different powers of six generator s having lower and upper limit.
KALYAN ACHARJYA

### KALYAN ACHARJYA (view profile)

on 19 Nov 2019 at 15:36
OK, then define x as per the data (six different powers of six generator)
Hope the problem is solved!
dhiman banerjee

### dhiman banerjee (view profile)

on 19 Nov 2019 at 16:20
Actually I am trying to draw the search space of the fitness function considering all the lower and upper limit corresponding to each of six variables. What is the feasible way to do so?