# Plot, fitness function.

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dhiman banerjee on 19 Nov 2019
Commented: dhiman banerjee on 19 Nov 2019
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.

#### 1 Comment

KALYAN ACHARJYA on 19 Nov 2019
What is x here?
fitness vs??

KALYAN ACHARJYA on 19 Nov 2019
Edited: KALYAN ACHARJYA on 19 Nov 2019
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 on 19 Nov 2019
X represents control variables, which are six different powers of six generator s having lower and upper limit.
KALYAN ACHARJYA on 19 Nov 2019
OK, then define x as per the data (six different powers of six generator)
Hope the problem is solved!
dhiman banerjee on 19 Nov 2019
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?