Comments (1)
Hi Dr Sadiq,
you can find the details in this paper:
https://www.scitepress.org/Papers/2016/60482/60482.pdf
Also, for the example, you can run the optimizer.py and setup your experiment by selecting the optmizers, the benchmarks, number of runs, number of iterations, and population size. As mentioned in the readme file:
To choose PSO optimizer for your experiment, change the PSO flag to true and others to false.
Select optimizers:
PSO= True
MVO= False
GWO = False
MFO= False
CS= False
...
After that, Select benchmark function:
F1=True
F2=False
F3=False
F4=False
F5=False
F6=False
....
Change NumOfRuns, PopulationSize, and Iterations variables as you want:
NumOfRuns=10
PopulationSize = 50
Iterations= 1000
from evolopy.
Related Issues (20)
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