EvoloPy: An Open-source Nature-inspired Optimization Framework in Python
Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, Pedro Ángel Castillo, Juan Julián Merelo · 2016
EvoloPy is an open source and cross-platform Python framework that implements a wide range of classical and recent nature-inspired metaheuristic algorithms. The goal of this framework is to facilitate the use of metaheuristic algorithms by non-specialists coming from different domains. With a simple interface and minimal dependencies, it is easier for researchers and practitioners to utilize EvoloPy for optimizing and benchmarking their own defined problems using the most powerful metaheuristic optimizers in the literature. This framework facilitates designing new algorithms or improving, hybridizing and analyzing the current ones.