Plot, fitness function.

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dhiman banerjee
dhiman banerjee 2019-11-19
评论： dhiman banerjee 2019-11-19
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.
Could anyone please help me?

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回答（1 个）

KALYAN ACHARJYA
KALYAN ACHARJYA 2019-11-19
编辑：KALYAN ACHARJYA 2019-11-19
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);
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KALYAN ACHARJYA
KALYAN ACHARJYA 2019-11-19
编辑：KALYAN ACHARJYA 2019-11-19
OK, then define x as per the data (six different powers of six generator)
Hope the problem is solved!
dhiman banerjee
dhiman banerjee 2019-11-19
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?

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