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could anyone hep me to clear my doubt
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In Particle swarm optimization for minimization, the global best is initialized to inf ;
for maximization the global best is initialized to -inf;
But in general inf is a largest value and how it can be used for minimization
and -inf is a smallest value and how it can be used for maximization.
Could anyone please clarify it.
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Rik
am 3 Apr. 2019
Because inf is the extreme, you can use it to find the next value in your data. As an example, the code below finds the maximum value in a vector:
max_val=-inf;
data=rand(1,100);
for n=1:numel(data)
if data(n)>max_val%is bigger than current max?
max_val=data(n);%store new max
end
end
Now the -inf will be replaced by the actual larger value once it finds one. The only case where it will stay -inf is when all values in the data are -inf, in which case it is indeed the maximum value.
Minimization works the same in the reverse case.
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Rik
am 9 Apr. 2019
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