• Stars
    star
    20
  • Rank 1,121,974 (Top 23 %)
  • Language
    Python
  • License
    MIT License
  • Created over 4 years ago
  • Updated 3 months ago

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Repository Details

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.