Optimization AI in Java, made easy with OptaPlanner
summary
Shows building a web app that generates a school timetable with OptaPlanner on Quarkus, loading rooms, timeslots and lessons from a DB and solving in seconds — the demo moves from a score of -40 uninitialized planning variables to zero hard violations. Implements constraints with the constraint streams API (teacher conflict fixed by a unique-pair rule), adds a soft teacher room stability penalty to reduce room switches, and submits jobs via the SolverManager API. Claims near-optimal solutions, real-time updates, and big-company savings in the hundreds of millions and millions of kg CO₂.
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