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I would like to distribute tasks (going to companies and signing a deal) to sales representatives based on some condition like company location (is it near the representative's place) or profit of the deal. In such a way that every sales reps are assigned equal tasks and profit gains. What algorithm can I use in Py? Any reference examples would help.

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  • $\begingroup$ Are you trying to improve a series of tasks or just tasks independently? $\endgroup$ Aug 30, 2022 at 17:55
  • $\begingroup$ This is certainly an optimization problem, genetic learning is usually a good direction. You will need to specify the problem and define an evaluation method, it's not going to work out of the box. $\endgroup$
    – Erwan
    Aug 31, 2022 at 9:46

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