From the Launching Ceremony of Research Groups at the University of Jordan.
Our research group EVOML: Evolutionary Algorithms and Machine Learning Research Group has been honored in this event.
The ceremony included an overview of the group’s most important research …
We are organizing the 26th International Conference on the Applications of Evolutionary Computation (EvoApplications) which will be held as part of EvoStar on April 12-14, 2023, in Brno, Czech Republic.
EvoApplications invites you to submit high-quality contributions on applications of …
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 …
APRIL 7-9, 2021
9 AM – 15:30 PM CET
EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network …
Chairing session “room C” at 15:10 Amman time on Wed 7/4/2021
EvoApplications 24th European Conference on the Applications of Evolutionary and bio-inspired Computation (part of EvoStar)
EvoStar is organized by SPECIES, the Society for the Promotion of Evolutionary Computation in …
A new book has been published in Springer by Ibrahim Aljarah, Hossam Faris, and Seyedali Mirjalili and in cooperation with evo-ml members and collaborators: Raneem Qaddoura, Maria Habib, Ala’ M. Al-Zoubi, Majdi Mafarja, and Mohammad A. Hassonah, and other distinguished researchers.
The title …
EvoNP is a clustering algorithm which aims at grouping similar data points to the same cluster and dissimilar data points to different clusters. It is based on the evolution behavior of genetic algorithm and the Nearest Neighbor Search (NNS) technique. …
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 …
This book investigates the clustering problem, conceptual analysis of evolutionary clustering including definition, validation and quality measures, applications, and implementations.
Chapter’s proposal should be submitted by e-mail to (i.aljarah@ju.edu.jo) in Word or Latex with book chapter Springer formats. The proposal …