metaheuristic-framework

A framework for Big Data Optimization with multi-objective metaheuristics

Parallel framework for continuous and combinatorial optimization with metaheuristics.

A metaheuristic optimization framework

Different meta-heuristic optimization techniques for feature selection

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.

EARS is a free and open-source Java-based framework for ranking, developing, and experimenting with single- and multi-objective evolutionary algorithms

MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia

OPTTSP is a Java framework for use and implementation of heuristics and metaheuristics.

DE Algorithm code modified to be applicable for multi-objective function optimization problems.