Two way constraint distribution optimization in R

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Have to solve a distribution optimization problem in R but can't seem to bring my head around the approach for formulating it effably:

A is a matrix of accounts and account holders with the relevant amounts available to each coordinate. The entire matrix is a network with n:m relations between accounts and account holders. I need to optimize the distribution of amounts under the following two constraints:

  • C1 => all account holders have to be covered by at least 100k (or at least the max amount possible) / this condition has priority
  • C2 => maximize the amount on accounts that can be fully covered (i.e. it's better to cover only one account to 100% instead of multiple accounts if the total sum is higher on the single account)

We don't have any negative values involved.

I have tried to approach the problem using OptimSimplex and GA but stumbled about getting the two constraints to work on the same distribution yet including a priority for the first.

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