A set of optimization tools designed so that they can be applied to a wide range of continous and discrete problems and combined if needed. The main emphasis is code redability rather than performance. The tools available so far are:
-Genetic algorithms with or without islands
-Simulatead annealing
-Particle swarm
Developed ETSEIAT / UPC.
Comments are welcomed !
Cite As
Manel Soria (2024). OpenLlop/MOT (https://github.com/OpenLlop/MOT), GitHub. Retrieved .
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Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.1.0.0 | A brand new version of AGA 1.0. It has been renamed to MOT since right now other tools are available and not only genetic algorithms. Enjoy it ! |
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1.0.0.0 |