Genetic Algorithm Outputs (GA toolbox in matlab)
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Hi
I'm trying to get the best locations of Wind turbines in an area of 2000 * 2000 Mtr. with a condition of 100 Mtr. from eachothers as ecludiean distances. I tried to use the genetic algorithm (toolbox) to ge the optimal output but the results are not resonable.
Attached code, is to get the 6 bests locations as (Ax,Ay) by minizing sum(M).
I want the results as following
Ax = [ Ax(1) Ax(2) .......Ax(6)]
Ay = [ Ay(1) Ay(2) .......Ay(6)]
2 comentarios
Alan Weiss
el 27 de Nov. de 2018
I have a hard time understanding your code.
It does not make sense to me that you generate new random numbers every time you call your objective function. And I do not understand why you generate that huge matrix particle_position, which has 100 rows, nor do I understand how that matrix relates to Ax and Ay through the deal function.
I do not see your call to ga. Nor do I understand why you think that ga is the best solver for this problem.
Alan Weiss
MATLAB mathematical toolbox documentation
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