OptaPlanner is a constraint solver. It optimizes business resource planning use cases, such as Vehicle Routing, Employee Rostering, Cloud Optimization, Task Assignment, Conference Scheduling, Job Scheduling, Bin Packing and many more. Every organization faces such scheduling puzzles: assign a limited set of constrained resources (employees, assets, time and money) to provide products or services. OptaPlanner delivers more efficient plans to improve service quality and reduce costs.
OptaPlanner is a lightweight, embeddable planning engine. It enables normal 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 reuse existing code. There’s no need to input them as mathematical equations. Under the hood, OptaPlanner combines sophisticated optimization heuristics and metaheuristics (such as Tabu Search, Simulated Annealing and Late Acceptance) with very efficient score calculation.
OptaPlanner is open source software, released under the Apache Software License. It is written in 100% pure Java™, runs on any JVM and is available in the Maven Central repository too.
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examples/runExamples.sh
examples/runExamples.bat
To optimize a problem from Java™ code,
add the optaplanner-core jar and call Solver.solve():
// My domain specific class as input
MyRoster problem = ...;
SolverFactory<MyRoster> factory = SolverFactory
.createFromXmlResource(".../mySolverConfig.xml");
Solver<MyRoster> solver = factory.buildSolver();
// My domain specific class as output
MyRoster solution = solver.solve(problem);
for (MyShift shift : solution.getShifts()) {
// Each shift is now assigned to an employee
assertNotNull(shift.getEmployee());
}
Musa Talluzi
Radovan Synek
Sudheer Chekka
Musa Talluzi
Justin Goldsmith
Geoffrey De Smet
Geoffrey De Smet