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Friday, January 28 • 4:30pm - 5:20pm
OptaPlanner AI on Quarkus for school timetabling

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Forget about Machine Learning. Planning optimization is the most profitable AI technology on this planet.

The world is full of planning challenges, such as vehicle routing problems, maintenance scheduling and employee rostering. Find the quickest routes to visit n locations with k vehicles. Or assign shifts to employees, taking into account skills and availability. Few people realize how much AI algorithms improve those solutions. For example, when telco’s started using OptaPlanner to plan their fleet of technicians, many expected a driving time reduction of 1-2%. It was 25%. In some cases, that saves hundreds of millions of dollars and millions of kilograms of CO² emissions, every year.

In this session I’ll show you how to code a highschool timetabling application, with Quarkus and OptaPlanner. It ‘ll generate the perfect lesson schedule, for both students and teachers, taking into account hard and soft constraints.

Session chairs: Zdenek Dohnal and Lubomir Terifaj

avatar for Geoffrey De Smet

Geoffrey De Smet

Senior Principal Software Engineer, Red Hat
Geoffrey De Smet is the founder and lead of OptaPlanner (www.optaplanner.org), the open source AI constraint solver in Java that is used across the globe to automatically solve employee rostering, vehicle routing, task assignment, maintenance scheduling and other planning problems... Read More →

Friday January 28, 2022 4:30pm - 5:20pm CET
Session Room 3