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

120 citations

8 papers

cs.NE202237 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.NE202271 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.NE202154 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.AI202155 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.NE202120 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.LG202173 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…