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

120 citations

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8 papers · 1 filter

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…

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.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.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.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…