EvoloPy
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EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Without unit tests it's difficult to know if contributions are correct or not.
For people who want to contribute new optimizers, for instance.
run(optimizer, objectivefunc, NumOfRuns, params, export_flags) a = numpy.concatenate( File "", line 200, in concatenate ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after...
Aranha, C., Camacho Villalón, C.L., Campelo, F., Dorigo, M., Ruiz, R., Sevaux, M., Sörensen, K. and Stützle, T., 2022. [Metaphor-based metaheuristics, a call for action: The elephant in the room](https://link.springer.com/article/10.1007/s11721-021-00202-9)....
dear sir, I want to change the objective function in the optimizer. how to do the changes in file so that I can get my desire results
This pull request introduces a full-featured **Graphical User Interface (GUI)** built with **Streamlit** for running and visualizing optimizers from the EvoloPy library. The goal is to provide an interactive and...
Expand the algorithm suite by adding more optimization techniques. Suggested algorithms: Simulated Annealing (SA) Differential Evolution (DE) Cuckoo Search (CS) Artificial Bee Colony (ABC) This will improve the framework’s versatility.