According to the attached image of the procedure of the ASF to find the maximum of extreme point in NSGA3, why we simply choose the solution with the minimum ASF value having in the
i-th objective??
We already know that ,these m extreme points are used to form the hyper-plane and computing the intersection of it by the axes.
In some cases the determinant of the matrix of these m extreme points is zero so that it's singular and the intersection couldn't be computed.
What's the solution??
Adding more objectives to be optimized to a multi objective optimization problem, make it a many objectives one, in which each of the objective function measures a different parameters.
So in order to compare the solutions according to their objective values, the value of the functions should be mapped in the interval of [0,1]
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