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Maybe already have!
For GA, after ga=GA(**params), use codes like ga.Chrom = np.random.randint(0,2,size=(80,20)) to manually set the initial population.
For DE, set de.X to your initial X.
For PSO, set pso.X to your initial X, and run pso.cal_y(). I realize just now that it is not good enough. May be pso.cal_y() can be omitted in the future version.
For SA, there is a parameter x0, which is the init point.
Thanks for the great work of this repo!
Wish to have enhancement for letting us set up a starting point of the parameters that we want to optimize
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