EasyLocal++: a c++ framework for local search metaheuristics
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Updated
Jul 15, 2024 - C++
EasyLocal++: a c++ framework for local search metaheuristics
Derivative-Free Global Optimization Method (C++, Python binding)
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Implementation of various metaheuristic algorithms in C++ and Python
OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.
ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
C++ metaheuristics modeler/solver for general integer optimization problems.
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Repository of metaheuristic algorithms aimed to solve a TSP
heurísticas: ILS, Simulated Annealing e Genetic Algorithm para o problema closest string
Optimization of black box functions defined on bit vectors
Target generation system for autonomous exploration of mobile robots in unknown indoor environments.
Diverse Instance Generator with Novelty and EAs
An Adaptive Genetic Algorithm for N-Queens Problem
C++ implementation of the metaheuristic spy_algorithm. It can search for global optimal solutions for arbitrary non-convex functions.
Implementação melhorada do algoritmo memplas (algoritmo evolucionário) com adição de um componente Path Relinking para o problema Quota Car Traveling Salesman (QCars).
Machine Learning algorithms for Facility Location Problem; Data structures and numerical methods.
A C++ framework to couple optimisation tools and simulation models
A Fast Iterated-Local-Search Localized Optimization algorithm for the CVRP.
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