Genetic Algorithm and Parallel Processing

Hi, I'm running a simulation with genetic algorithm (ga) in parallel, and I'd like to use subpopulations (options.PopulationSize = [1e3; 1e3; 1e3; 1e3; 1e3;];). However, when I was reading about migration options at https://www.mathworks.com/help/gads/genetic-algorithm-options.html , I found a note saying:

 Subpopulations refer to a form of parallel processing for the genetic algorithm. ga currently does not support this form.
 In subpopulations, each worker hosts a number of individuals. These individuals are a subpopulation. The worker evolves the subpopulation
 independently of other workers, except when migration causes some individuals to travel between workers.
Because ga does not currently support this form of parallel processing, there is no benefit to setting
 PopulationSize to a vector, or to setting the MigrationDirection, MigrationInterval, or MigrationFraction options.

If ga does not support parallel processing for subpopulation, is there any other genetic algorithm solver we can made use of, that benefits from using subpopulations?

Regards, Fred

Answer 1

[Magdi Mosa]

pleas, What are the conditions to run the subpopulation.

Answer 2

[Qi Liu]

the same question goes for me too. Anybody can answer it ?? I would appreciate it.

[Magdi Mosa]

yes i found my point,

set the population size in vector form such as in the attached picture

example Population size [50,50]