What does OptaPlanner do?

What does OptaPlanner do?

OptaPlanner is a lightweight, embeddable planning engine. It enables everyday programmers to solve optimization problems efficiently. Constraints apply on plain domain objects and can call existing code.

Is OptaPlanner free?

OptaPlanner is open source software, released under the Apache License 2.0. This license is very liberal: it allows reuse for commercial purposes.

How do you run OptaPlanner?

1.3. Download and run the examples

  1. Download a release zip of OptaPlanner from the OptaPlanner website.
  2. Unzip it.
  3. Open the directory examples and run the script. Linux or Mac: $ cd examples $ ./runExamples.sh. Windows: $ cd examples $ runExamples.bat.

How do you install OptaPlanner?

Download a release zip of OptaPlanner from the OptaPlanner website. Unzip it. Open the directory examples and run the script….$ git clone https://github.com/droolsjbpm/optaplanner.git optaplanner …

  1. Build it with Maven:
  2. Run the examples:
  3. Edit the sources in your favorite IDE.
  4. Optional: use a Java profiler.

What is Choco solver?

Choco Solver is an Open Source Java library for Constraint Programming that has been used for more than 20 years by many companies and universities. Choco is among the most efficient solvers available and has a high code quality.

How do constraint solvers work?

Constraint propagation works by reducing domains of variables, strengthening constraints, or creating new ones. This leads to a reduction of the search space, making the problem easier to solve by some algorithms.

What is Choco programming?

choco is a java library for constraint satisfaction problems (CSP) and constraint programming (CP). It is built on a event-based propagation mechanism with backtrackable structures. choco is an open- source software, distributed under a BSD licence and hosted by source- forge.

What is Choco Java?

Choco is a Free Open-Source Java library dedicated to Constraint Programming. The user models its problem in a declarative way by stating the set of constraints. that need to be satisfied in every solution. Then, the problem is solved by alternating constraint filtering algorithms with a search mechanism.

Is constraint programming AI?

There is a symbiosis between artificial intelligence (AI) and constraint programming (CP). It is a historic fact that many constraint programming techniques were developed by people primarily interested in artificial intelligence problems.

Is constraint programming artificial intelligence?

As originally defined in artificial intelligence, constraints enumerate the possible values a set of variables may take in a given world. In practice, constraints are often expressed in compact form, rather than enumerating all the values of the variables that would satisfy the constraint.

What is a Frappuccino chip?

Frappuccino chips are cookie crumbs covered in chocolate and sugar so they have a different texture than regular chocolate chips.

What is OptaPlanner?

OptaPlanner delivers more efficient plans, which reduce costs and improve service quality. OptaPlanner is a lightweight, embeddable planning engine. It enables everyday Java™ programmers to solve optimization problems efficiently.

How do I implement OptaPlanner in Java?

In Java, expose an OptaPlanner implementation as a REST service (with RestEasy and/or Camel). Map the domain objects to XML with JAXB (or XStream). Then use a C# client to contact that REST service.

Is OptaPlanner the best constraint solver for You?

Luckily, AI constraint solvers such as OptaPlanner have advanced algorithms that deliver a near-optimal solution in a reasonable amount of time. We recommend that you follow the instructions in the next sections and create the application step by step.

What is @planningvariable in OptaPlanner?

OptaPlanner changes these fields during solving. Such fields are called planning variables. In order for OptaPlanner to recognize them, both the timeslot and room fields require an @PlanningVariable annotation. Their containing class, Lesson, requires an @PlanningEntity annotation.