Search Results for "metaheuristics"

This software is an automatic n-dimensional quantitative data clustering tool based on five optimization heuristics (GA, PSO, ACO, SA, and TS). It enables performance comparisons across heuristics and parameter testing within each method, analyzing solution quality, runtime, and convergence; it also includes a repository of benchmark test tables and an intuitive interface for research and operational use. It was developed by M.Sc. Jeffry Chavarría-Molina and M.Sc. Juan José Fallas-Monge...

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.

This project is aimed a developing a C++ version of jMetal, a Java framework aimed at multi-objective optimization with metaheuristics.

Die OPTSYS Framework Optimization Suite ist nicht nur eine Optimierungssoftware, sondern darüber hinaus ein umfangreiches Softwareframework für die kombinatorische Optimierung mit einem besonderen Fokus auf heuristische Lösungsmethoden. Das Framework versteht sich als Expertensystem zur Abbildung von kombinatorischen Optimierungsproblemen und für die Umsetzung, Anwendung und Evaluierung von zugehörigen Lösungsmethoden. Aufgrund der vielfältigen Funktionen zur Evaluation eignet es sich...

BONESA is an open source, user-friendly interface for tuning the numerical parameters of metaheuristics. This package includes a multi-objective parameter tuning algorithm and visualizations of the performance landscape.

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 it, the SBST Group from Informatics Institute at Universidade Federal de Goiás, are developing the SBSTFrame focuses in the integration of these two types of tools to facilitate the application of search techniques in problems of Software Testing area. ...

EBEs+jMetal is a software tool that allows to design bar structures which can further be optimized with multi-objective metaheuristics according to different goals, such as minimizing the structure weight and minimizing the deformation.

...Each entry follows a consistent template: motivation, strategy, pseudocode, parameter choices, variations, and references, making it easy to compare approaches. The catalog spans evolutionary algorithms, swarm intelligence, immune systems, simulated annealing, tabu search, and other metaheuristics, plus guidance on when and how to tune them. Example implementations and worked problems show how to encode solutions, define fitness, and balance exploration with exploitation. The emphasis is on pragmatism—enough theory to understand why an algorithm works, and enough detail to get it running in your environment. It’s a useful starting point for students and practitioners who want to prototype, benchmark, or hybridize algorithms without digging through scattered academic papers.

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

metaheuristics scheduling

Java Metaheuristics (JMH) is a Java library aimed at the design and implementation of exact and approximated algorithms for optimization problems. JMH is specifically tailored for the design of metaheuristic procedures.

JGenAlg is a java toolbox for working with metaheuristic procedures (Genetic Algorithms, Island model, Particle Swarm, Ant Swarm). JGenAlg have a GUI, a Client/Server architecture, work with threads and can be use under distributed enviroments.

High school timetabling system, which combines automated and manual timetabling, features multiple timetabling metaheuristics, and XML and HTML export

Megaheuristica is a scientific program for study metaheuristics.

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://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022).