Tuesday, 5 July 2022

is there an algorithm to solve a task assignment optimization problem?

Given a list of reviewers and a list of tasks. Each reviewer should have an equal number of reviews unless a reviewer is requested for a specific task. After each iteration, the review history is stored. Need to design an algorithm to assign reviewers in a round-robin approach and make sure that new potential reviewers won't be primary reviewers for the upcoming tasks as they have the least number of reviewers.

At this moment, I don't have any code just trying to find an approach how to solve a problem with possibly a new reviewer with zero review count. Implementing an algorithm with the static reviewers list would be a problem.

Any ideas would be appreciated. Thanks!



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