google/or-tools
Or Tools
OR-Tools is a software suite for combinatorial optimization, constraint programming, and mathematical modeling. It provides a framework for defining complex problems involving variables and logical constraints, enabling the systematic search for feasible or optimal solutions.
The project features a high-performance core engine written in C++ that utilizes branch and bound search and local search metaheuristics to navigate large solution spaces. A language-agnostic wrapper layer allows these optimization capabilities to be accessed through idiomatic interfaces in multiple high-level programming languages.
The library supports a broad range of practical applications, including resource scheduling, supply chain network design, and vehicle routing logistics. It includes a unified mathematical programming abstraction that connects custom problem definitions to a variety of internal and external solver engines.
Features
- Optimization & Solvers - Acts as a comprehensive library for modeling and solving combinatorial optimization problems like routing and scheduling.
- Vehicle Routing Systems - Calculates efficient delivery routes and schedules for vehicle fleets while accounting for capacity and time constraints.
- Constraint Programming - Provides a declarative framework for defining and solving problems using logical constraints and variable domains.
- Constraint Solvers - Provides a framework for solving problems defined by logical constraints and variable domains.
- Optimization Engines - Provides a high-performance C++ core engine for executing complex mathematical optimization algorithms.
- Supply Chain Network Design Tools - Enables the design of optimal supply chain networks by determining warehouse and distribution center placement.
- Mathematical Libraries and Utilities - Offers a toolkit for defining and solving linear, integer, and constraint programming models.
- Operational Schedulers - Supports complex resource scheduling by assigning tasks and equipment to maximize productivity while adhering to availability constraints.
- Search Algorithms - Implements branch and bound search algorithms to navigate large solution spaces for optimization problems.
- Combinatorial Optimization Problems - Enables modeling complex tasks as mathematical programs to evaluate combinations of variables for optimal solutions.
- Metaheuristic Optimization - Utilizes local search metaheuristics to iteratively refine candidate solutions in computationally difficult scenarios.
- Integration Abstraction Layers - Provides a unified API abstraction layer to connect custom problem definitions to various internal and external solver engines.
- Language Bindings - Uses Swig to generate idiomatic wrappers that allow optimization capabilities to be accessed from multiple programming languages.
- Storage Systems - Software suite for optimization and constraint programming.
