Asteroid has been merged with Scampi, to give rise to OScar.
Follow us on https://bitbucket.org/oscarlib/oscar/wiki/Home

Asteroid offers a powerful framework for developing constraint-based local search solution to combinatorial problems. This technique provides good scalability to real-world problems. It includes a library of standard constraints and invariants to declaratively define the problem you want to solve, and it also provides powerful search mechanisms.

Features

  • Contraint-based local search framework
  • Partial propagation of updates for fast neightbor exploration
  • Static dependency graph can be cyclic
  • Invariant library
  • Constraint Library
  • JobShop Scheduling
  • Supported types are IntVar and IntSetVar

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 2.0 (LGPLv2), GNU Library or Lesser General Public License version 3.0 (LGPLv3)

Follow Asteroid

Asteroid Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
2
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • Asteroid fills a hole that has been there for several years, namely an open-source and easy-to-use constraint-based local search framework. This is very much appreciated. Keep up the good work on this!
  • Very promising framework
Read more reviews >

Additional Project Details

Languages

English

Intended Audience

Aerospace, Automotive, Education, Engineering, Healthcare Industry, Information Technology

Programming Language

Scala

Related Categories

Scala Algorithms, Scala Artificial Intelligence Software

Registered

2012-05-08