An Introduction To OptaPlanner and Its Use Cases

Posted By : Pankaj Garg | 04-Feb-2023

Java Optaplanner Java Virtual Machine


What Is OptaPlanner?

OptaPlanner is a constraint satisfaction solver framework for Java, developed by Red Hat. It uses mathematical optimization algorithms to find the best solution for a given problem, subject to a set of constraints, within a defined search space. OptaPlanner is designed to be used in planning and scheduling applications, such as resource allocation, workforce scheduling, and project planning.

What Are OptaPlanner Use Cases?

OptaPlanner is a constraint satisfaction solver that is used in a variety of use cases, including

1. Resource allocation: OptaPlanner can be used to allocate resources such as people, vehicles, and machines to tasks.
2. Scheduling: OptaPlanner can be used to schedule tasks such as employee shifts, appointments, and production runs.
3. Vehicle routing: OptaPlanner can be used to find the most efficient routes for vehicles, taking into account factors such as vehicle capacity, travel time, and delivery deadlines.
4. Staff rostering: OptaPlanner can be used to create fair and efficient schedules for employees, taking into account factors such as skill level, availability, and preferences.
5. Course scheduling: OptaPlanner can be used to schedule classes in a school or university, taking into account factors such as room capacity, teacher availability, and student preferences.
6. Supply chain optimization: OptaPlanner can be used to optimize supply chain operations, taking into account factors such as inventory levels, lead times, and transportation costs.

Also, Read OptaPlanner 9: Here’s Everything You Need To Know

Java Project In OptaPlanner

OptaPlanner is an open source Java library for constraint programming and optimization. It can be used to build a demo project in Java by following these steps:

1. Set up your development environment: Make sure you have Java installed, and a Java IDE like Eclipse or IntelliJ.
2. Get the OptaPlanner library: You can download the latest version of OptaPlanner from the official website ( and add it to your project's classpath.
3. Define your problem: Decide what problem you want to solve and what your constraints are. OptaPlanner can handle a wide range of problems, including scheduling, resource allocation, and vehicle routing.
4. Model the problem: Create Java classes to represent the entities involved in your problem, and annotate them with OptaPlanner's annotations to define the problem's constraints and objectives.
5. Create a Solver: The solver is responsible for finding a solution to your problem. To create one, you can use the OptaPlanner API to define the solver configuration and itsalgorithm.
6. Run the solver: Invoke the solver's "solve" method, passing in your problem model as a parameter. The solver will return the best solution it could find.
7. Display the results: You can display the results of the solver by printing the state of your problem model after the solver has finished running.

These are the basic steps for building a demo project in Java using OptaPlanner. The exact implementation details will depend on the specific problem you are trying to solve.

To learn more about our OptaPlanner application development services or project-related queries, contact us at [email protected].