Initial population in genetic algorithm
29 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
djedoui Nassim
el 5 de Abr. de 2021
Comentada: djedoui Nassim
el 6 de Abr. de 2021
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);
0 comentarios
Respuesta aceptada
Alan Weiss
el 5 de Abr. de 2021
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 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Genetic Algorithm en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!