#optaplannerdevelopment

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.

Here, we shall examine the notable differences between OptaPlanner 8 and OptaPlanner 9. Subsequently, you will learn how to migrate from OptaPlanner 8 to 9 with minimal complexities.

OptaPlanner remains one of the most sought-after software tools for developing custom, Java-based planning solutions to overcome diverse industry-specific challenges. Being an AI constraint solver, it helps businesses solve various optimization problems through advanced heuristic and metaheuristic algorithms. There have been several editions of this embeddable planning engine, the latest one being OptaPlanner 9. With the ninth edition, OptaPlanner brings several notable enhancements and it helps users migrate to Jakarta EE, Quarkus 3, and Spring Boot 3.

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Today we are discussing a few major changes that will require updating and how we can do those changes.

Let's first understand the need for upgradation to a higher version, the older version had some methods that were deprecated one of them including "DRL File" which was arguably the most important file of all the rules were written to it, in the newer version there are changes with the library in place of DRS File. The newer version is faster and better for developers to develop new software using this technology.

Let's start :

1.) pom.xml file changes

In the properties section of the pom.xml file, we define the version of OptaPlannar that we need to implement. I'm using OptaPlanner 8.35.0.Final, the most recent version. The updated versions now require Java 11 or above.

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