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GitHub / jcrvz / customhys
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jcrvz%2Fcustomhys
Stars: 17
Forks: 9
Open Issues: 3
License: mit
Language: Python
Repo Size: 47.4 MB
Dependencies:
0
Created: almost 4 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Commit Stats
Commits: 258
Authors: 6
Mean commits per author: 43.0
Development Distribution Score: 0.364
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/jcrvz/customhys
Topics: continuous-optimization, hyperheuristic, metaheuristic-algorithms, metaheuristic-framework, metaheuristic-optimisation, metaheuristics, population-methods
Files
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