Optimizing a Meditation Retreat with a SAT Solver

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The article details how the author applied integer programming and Google's CP-SAT solver in Python to automate the scheduling of daily student-teacher interviews for a Zen meditation retreat. It explains the constraints (students, teachers, rooms, time slots) and goals (fair workload, variety) of the optimization problem, contrasting the manual spreadsheet approach with an automated, programmatic solution.

Optimizing a Meditation Retreat with a SAT Solver

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