清空筛选条件
清空筛选条件

Initial population in genetic algorithm

27 次查看（过去 30 天）
djedoui Nassim
djedoui Nassim 2021-4-5
评论： djedoui Nassim 2021-4-6
Hello
I am trying to use GA and other algorithms to minimize my problem. For a faire comparison, the initial population will be chosen the same for all the algorithms. A randomly generated population is then generated and called for each algorithm.
So far, the idea works well except for GA where different result (starting objective) is obtained.
Following the options used for the GA, anyone can help me with this?
options = optimoptions(@ga,'Generations',Max_iteration,'OutputFcns',@outputfunction,'PopulationSize',50,'InitialPopulationMatrix',initialX,'TolFun',1e-10);

请先登录，再回答此问题。

采纳的回答

Alan Weiss
Alan Weiss 2021-4-5
To get reproducible results, set the random number generator before you call ga. For example,
rng default
% or rng(1) or whatever you like
% Then call ga
Alan Weiss
MATLAB mathematical toolbox documentation
  4 个评论
显示 2更早的评论
djedoui Nassim
djedoui Nassim 2021-4-6
Thank you again,
My trouble is that is I am getting different result namely for the first itteration of the GA compared to the other algorithm where the same initial population is used.
djedoui Nassim
djedoui Nassim 2021-4-6
I tried your suggested solution and it works
with
rng(0.5)
Many thanks

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Genetic Algorithm 的更多信息

标签

产品


版本

R2015b

Community Treasure Hunt

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

Start Hunting!

Translated by