192 citations · 1.9k across the 53 of their papers we have counts for
27 papers · 1 filter
Leo: Lagrange Elementary Optimization
Aso M. Aladdin, Tarik A. Rashid
Global optimization problems are frequently solved using the practical and efficient method of evolutionary sophistication. But as the original problem becomes more complex, so doe…
Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition
Mohammad Khishe, Mokhtar Mohammadi, Tarik A. Rashid +2
This chapter proposes using the Moth Flame Optimization (MFO) algorithm for finetuning a Deep Neural Network to recognize different underwater sonar datasets. Same as other models…
Multi objective Fitness Dependent Optimizer Algorithm
Jaza M. Abdullah, Tarik A. Rashid, Bestan B. Maaroof +1
This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO). The algorithm is called a Multi objective Fitness Dependent Optimizer…
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…
An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
Abubakr Issa, Yossra Ali, Tarik Rashid
Feature selection can be defined as one of the pre-processing steps that decrease the dimensionality of a dataset by identifying the most significant attributes while also boosting…
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf +4
Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy reso…
Heart Attack Classification System using Neural Network Trained with Particle Swarm Optimization
Askandar H. Amin, Botan K. Ahmed, Bestan B. Maaroof +1
The prior detection of a heart attack could lead to the saving of one's life. Putting specific criteria into a system that provides an early warning of an imminent at-tack will be…
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…
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed Salih +7
This discusses a case study on Fitness Dependent Optimizer or so-called FDO and adapting its parameters to the Internet of Things (IoT) healthcare. The reproductive way is sparked…
A New Lagrangian Problem Crossover: A Systematic Review and Meta-Analysis of Crossover Standards
Aso M. Aladdin, Tarik A. Rashid
The performance of most evolutionary metaheuristic algorithms relays on various operatives. One of them is the crossover operator, which is divided into two types: application depe…
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss
Hui Yang, Abeer Alsadoon, P. W. C. Prasad +4
Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemente…
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…
Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Chnoor M. Rahman, Tarik A. Rashid, Aram Mahmood Ahmed +1
In this work, a new multiobjective optimization algorithm called multiobjective learner performance-based behavior algorithm is proposed. The proposed algorithm is based on the pro…
Chaotic Fitness Dependent Optimizer for Planning and Engineering Design
Hardi M. Mohammed, Tarik A. Rashid
Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm that mimics the reproduction behavior of the bee swarm in finding better hives. This algorithm is similar to P…
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…
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants
Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi +5
One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstr…
Child Drawing Development Optimization Algorithm based on Child's Cognitive Development
Sabat Abdulhameed, Tarik A. Rashid
This paper proposes a novel metaheuristic Child Drawing Development Optimization (CDDO) algorithm inspired by the child's learning behaviour and cognitive development using the gol…
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…
A Novel Hybrid GWO with WOA for Global Numerical Optimization and Solving Pressure Vessel Design
Hardi M. Mohammed, Tarik A. Rashid
A recent metaheuristic algorithm, such as Whale Optimization Algorithm (WOA), was proposed. The idea of proposing this algorithm belongs to the hunting behavior of the humpback wha…
A survey on dragonfly algorithm and its applications in engineering
Chnoor M. Rahman, Tarik A. Rashid, Abeer Alsadoon +3
The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas. At times,…
Improved Fitness-Dependent Optimizer Algorithm
Danial A. Muhammed, Soran AM. Saeed, Tarik A. Rashid
The fitness-dependent optimizer (FDO) algorithm was recently introduced in 2019. An improved FDO (IFDO) algorithm is presented in this work, and this algorithm contributes consider…
Cat Swarm Optimization Algorithm -- A Survey and Performance Evaluation
Aram M. Ahmed, Tarik A. Rashid, Soran Ab. M. Saeed
This paper presents an in-depth survey and performance evaluation of the Cat Swarm Optimization (CSO) Algorithm. CSO is a robust and powerful metaheuristic swarm-based optimization…
Dragonfly Algorithm and its Applications in Applied Science -- Survey
Chnoor M. Rahman, Tarik A. Rashid
One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili. Dragonfly algorithm has shown its ability to optimizing different real world problem…
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…