Genetic Algorithm Outputs (GA toolbox in matlab)

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)]

[Alan Weiss]

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

[Rena Berman]

(Answers Dev) Restored edit.

Answer 1

[Abdullah Al Shereiqi]

Thanks for your comments.

Please be patient with me, I'm beginner in using Matlab.

Attached on what I want to do. Is there other way to do this optimization?

[Walter Roberson]

how is best position defined?

[Rena Berman]

(Answers Dev) Restored edit.