AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
- Updated
Jun 8, 2025 - Java
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
An open-source Java library for Constraint Programming
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
Constraint Solver ACE
XCSP3 Tools in Java
Convex optimization for java and scala, built on Apache Commons Math
Programming language based on the synchronous and constraint paradigms
Object-oriented implementation of Constraint Handling Rules in modern Java
Repository for the implementation of a solution to the Network Design Problem for a modified Two Echelon Vehicle Routing Problem
A high-level, solver-independent, Java constraint model for constraint satisfaction problems in the integer domain.
Solve graph partitioning problem experimenting IP, CP (ortools) , Tabu search and GA
Car-Sequencing Problem solved with Constraint Programming approach
A Choco extension for Declarative Statistics
CCMT-CPBP is a neuro-symbolic artificial intelligence system (combining machine learning and constraint programming) that generates musical melodies based on given chords while providing more control over these melodies than the base transformer.
EasyCSP is an open-source Java library for Constraint Satisfaction Programming. Supports CSPs, CSOPs, discrete object domains, int interval domains, int constraint binarization. Examples include NQueens, Sudoku. (Builds on Sourceforge)
FAPE (Flexible Acting and Planning Environment) is a constraint-based planner for the ANML language.
Automatic test generator using constraint programming
This project aims at creating a realtime physics engine to be used in games
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