EvoCC framework is an open-source, free, and cross-platform framework implemented in Python which combines clustering, classification, and evolutionary computation methods. It optimizes the classification process by generating a classification model for each group generated by a clustering process where the …
Feature selection is a necessary critical stage in data mining process. There is always an arm race to build frameworks and libraries that ease and automate this process. In this chapter, an EvoloPy-FS framework is proposed, which is a Python …
EvoCluster is an open source and cross-platform framework implemented in Python which includes the most well-known and recent nature-inspired metaheuristic optimizers that are customized to perform partitional clustering tasks. The goal of this framework is to provide a user-friendly and …
HHO is a population-based, gradient-free optimization algorithm. In 2019, Future Generation Computer Systems (FGCS) has published the HHO algorithm. The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks in nature called “surprise pounce”.