Search Results for "metaheuristics"

OptFrame is a framework for efficient implementation of metaheuristics and optimization methods. It has already been used in some real combinatorial problems and applied to Operations Research. Since November 2017, project has been moved to GitHub (new releases will also be included here in SourceForge, but Git mainline is no longer supported here). For more information, visit: https://github.com/OptFrame/optframe

jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.

There are a large variety of tools for application of many techniques of software testing. Likewise, there are a variety of frameworks that facilitate developing search techniques (e.g. Metaheuristics ). However, there are few tools available to the integration of these tools, which would be suitable for the application of SBST (Search Based Software Testing). Furthermore, such tools require an advanced knowledge of software testing techniques and optimization techniques. Thinking about...

Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator

PyOptFrame-LEGACY is a Python version of OptFrame v2, proposed in 2011, now superseeded in 2021 by v5 on GitHub and PIP. The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii. See NEWEST version v5 on GitHub and PIP. Please try Official pyoptframe on https...