output
20192026
most citedCSCF: a chaotic sine cosine firefly Algorithm for practical application problems

120 citations

Showing 2021Show all

6 papers · 1 filter

cs.NE2021★ 54 cited

A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star

Bryar A. Hassan, Tarik A. Rashid, Hozan K. Hamarashid

With the increasing number of samples, the manual clustering of COVID-19 and medical disease data samples becomes time-consuming and requires highly skilled labour. Recently, sever…

cs.AI2021★ 55 cited

Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star

Bryar A. Hassan, Tarik A. Rashid, Seyedali Mirjalili

It is beneficial to automate the process of deriving concept hierarchies from corpora since a manual construction of concept hierarchies is typically a time-consuming and resource-…

cs.NE2021★ 20 cited

Dynamic Cat Swarm Optimization Algorithm for Backboard Wiring Problem

Aram Ahmed, Tarik A. Rashid, Soran Saeed

This paper presents a powerful swarm intelligence meta-heuristic optimization algorithm called Dynamic Cat Swarm Optimization. The formulation is through modifying the existing Cat…

cs.IR2021★ 37 cited

Evaluating e-Government Services in Kurdistan Institution for Strategic Studies and Scientific Research Using the EGOVSAT Model

Bryar A. Hassan, Aram M. Ahmed, Soran A. Saeed +1

Office automation is an initiative used to digitally deliver services to citizens, private and public sectors. It is used to digitally collect, store, create, and manipulate office…

cs.NE2021★ 36 cited

Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets

Bryar A. Hassan, TarikA. Rashid, Seyedali Mirjalili

This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms. Two…

cs.LG2021★ 73 cited

A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets

Bryar A. Hassan, Tarik A. Rashid

Clustering is a commonly used method for exploring and analysing data where the primary objective is to categorise observations into similar clusters. In recent decades, several al…