71 citations · 310 across the 9 of their papers we have counts for
9 papers
SEB-ChOA: An Improved Chimp Optimization Algorithm Using Spiral Exploitation Behavior
Leren Qian, Mohammad Khishe, Yiqian Huang +1
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting proc…
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…
Kurdish Handwritten Character Recognition using Deep Learning Techniques
Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah +5
Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a re…
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…
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-…
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 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,…