output
20192023
most citedCSCF: a chaotic sine cosine firefly Algorithm for practical application problems

120 citations

12 papers

cs.SE2023★ 6 cited

Awareness requirement and performance management for adaptive systems: a survey

Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon +4

Self-adaptive software can assess and modify its behavior when the assessment indicates that the program is not performing as intended or when improved functionality or performance…

cs.NE2023★ 11 cited

Fitness Dependent Optimizer with Neural Networks for COVID-19 patients

Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan +4

The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected global health and become a huge burden on health institutions all over the world. Th…

cs.NE2022★ 37 cited

Harmony Search: Current Studies and Uses on Healthcare Systems

Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon +13

One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory…

eess.IV2022★ 39 cited

An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images

Shko M. Qader, Bryar A. Hassan, Tarik A. Rashid

Automated brain tumor detection is becoming a highly considerable medical diagnosis research. In recent medical diagnoses, detection and classification are highly considered to emp…

cs.NE2022★ 71 cited

Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review

Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla +5

Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based metaheuristic algorithm t…

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.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…

cs.NE2020★ 120 cited

CSCF: a chaotic sine cosine firefly Algorithm for practical application problems

Bryar A. Hassan

Recently, numerous meta-heuristic based approaches are deliberated to reduce the computational complexities of several existing approaches that include tricky derivations, very lar…

cs.NE2019★ 75 cited

Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation

Bryar A. Hassan, Tarik A. Rashid

The experiments conducted in previous studies demonstrated the successful performance of BSA and its non-sensitivity toward the several types of optimisation problems. This success…