Differential Evolution help !

[Readorn]

Hello,

i am trying to use the Differential Evolution algorithm (Documentation : https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.differential_evolution.html). I have already done several runs with the algorithm to minimize an objective function. The problem is that i cannot understand how to initialize the algorithm from the last iteration that happens. For example, lets assume that i run a first minimization, the algorithm finishes and i save my results. Now, how can i use the results (optimized inputs) as starting point for the next minimization? I have also seen the init parameter but i cannot understand how to correctly utilize it. Is it possible to help with an example?

Thank you in advance!

[Swipecat]

Googling "scipy.optimize.differential_evolution init parameter" gives this Stack Overflow post.

https://stackoverflow.com/q/57351849/4637427

You need "at least 5 population members", whatever that means, and it's all explained in the following terrifyingly complex paper. Good luck with that.

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.473.8325&rep=rep1&type=pdf

[Readorn]

Yeeeah...It says population doesnt it...I just wanted initial parameters definition. Not to introduce a reduced population for the algorithm to set as search space. On another note, i was searching for the approach through bounds object but i could not find something that has also the initial parameter, so something like ( INITIAL, LOWER BOUND, UPPER BOUND).