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EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

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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.