Fiels from the webinar: Speeding up optimization problems with parallel computing
Description: This download contains the MATLAB functions/scripts used in the August 10th webinar http://www.mathworks.com/videos/speeding-up-optimization-problems-using-parallel-computing-81753.html .
There are five examples that show how to use parallel computing to speed up optimization problems.
Stuart Kozola (2020). Speeding Up Optimization Problems with Parallel Computing (https://www.mathworks.com/matlabcentral/fileexchange/28487-speeding-up-optimization-problems-with-parallel-computing), MATLAB Central File Exchange. Retrieved .
I'm using ga solver with custom population type,
each entities is a binary vector,
I'm writing the crossover and the mutation functions,
How can I avoid the creation of children olready tested?
I'm searching for a solution compatible with the parallelization.
Thanks in advance for the answers,