Genetic Algorithm Outputs (GA toolbox in matlab)

1 次查看(过去 30 天)
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 个评论
Alan Weiss
Alan Weiss 2018-11-27
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

请先登录,再进行评论。

回答(1 个)

Abdullah Al Shereiqi
编辑:Rena Berman 2018-11-28
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?

类别

Help CenterFile Exchange 中查找有关 Genetic Algorithm 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by