Artificial Intelligence planning optimization in Java

What is OptaPlanner?

OptaPlanner is an AI constraint solver. It optimizes planning and scheduling problems, such as the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more. Every organization faces such challenges: assign a limited set of constrained resources (employees, assets, time and/or money) to provide products or services. OptaPlanner delivers more efficient plans, which reduce costs and improve service quality.

OptaPlanner is a lightweight, embeddable planning solver. It enables everyday Java programmers to solve optimization problems efficiently. It is also compatible with other JVM languages (such as Kotlin and Scala). Constraints apply on plain domain objects and can call existing code. There's no need to input constraints as mathematical equations. Under the hood, OptaPlanner combines sophisticated Artificial Intelligence optimization algorithms (such as Tabu Search, Simulated Annealing, Late Acceptance and other metaheuristics) with very efficient score calculation and other state-of-the-art constraint solving techniques.

OptaPlanner is open source software, released under the Apache License. It is written in 100% pure Java™, runs on any JVM and is available in the Maven Central repository too. It works with Quarkus and Spring Boot.