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OptaPlanner project preview

OptaPlanner

AI constraint solver optimizing employee scheduling, vehicle routing, and company resource allocation.

LicenseApache-2.0
GitHub stars3.8k
Last commit1 weeks ago
Tags5 topics
BusinessEmployee Shift SchedulingResource OptimizationVehicle Routing VrpAi Constraint Solver
Overview

Why consider OptaPlanner?

OptaPlanner is an open-source AI constraint satisfaction solver written in Java by Red Hat. It solves complex business optimization challenges such as employee shift roster scheduling, logistics vehicle routing (VRP), maintenance task planning, and cloud bin-packing with sub-second execution.

Guided learning

Learn OptaPlanner by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of OptaPlanner

OptaPlanner optimizes company staff shift allocations and supply logistics fleets using genetic algorithms.

Quickstart

xml
1<dependency>
2 <groupId>org.optaplanner</groupId>
3 <artifactId>optaplanner-core</artifactId>
4 <version>9.44.0.Final</version>
5</dependency>

OptaPlanner is licensed under the Apache License Version 2.0.

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OptaPlanner FAQs

OptaPlanner is listed as a Business tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

OptaPlanner is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

OptaPlanner is listed as an alternative to FICO Xpress. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.