College of Computer Science and Mathematics

Discussion of Ph.D. Dissertation  in the College of Computer Science and Mathematics – Department of Mathematics Sciences entitled:

“Improving and Hybridization of Swarm Optimization Algorithms for Bioinformatics Features Extraction“

 

In continuation of the scientific research movement and with the follow-up and presence of the Dean of the College of Computer Science and Mathematics

   Prof. Dr. Duha Bashir Abdullah the esteemed.

It was discussed in the discussion room at the Faculty of Computer Science and Mathematics at the University of Mosul on Thursday, 10 -4-2025.

Ph.D. Dissertation by Student  Azhar Zaki Abdullah Hussein.

under the supervision of  Prof. Dr. Ban Ahmad Hassan Mitras.

Metaheuristic algorithms are significant concepts for dealing with difficult problems that cannot be solved by classical methods. Metaheuristic algorithms are based on natural phenomena and social interactions of biological entities allowing for a good compromise of exploration and exploitation on the solution space. The Pelican Optimization Algorithm (POA) is one of the promising algorithms among these, owing to its simulation of the cooperative hunting behavior of pelican flocks. Despite its effectiveness and strong exploratory capability in moving toward prey, it sometimes encounters challenges during the exploitation phase. Therefore, there is a need to develop and enhance it to improve solution accuracy and convergence speed when tackling multidimensional problems.

This study deals with important developments on the POA  algorithm, as it has been hybridized with other algorithms namely

1- Coati Optimization Algorithm (COA).

2- Walrus  Optimization Algorithm (WaOA).

3- Osprey optimization algorithm (OOA).

This has led to significant improvements in the performance of these hybrid algorithms, both in terms of solution accuracy and the efficiency of calculations.

POA has also been improved using Conjugate Gradient techniques, resulting in hybrid versions POA-CG-AZ, POA-CG-AB and POA-CG-AA, which proved superior in speed and accuracy compared to the original.

In addition, these algorithms have been employed in the field of fingerprint derivation, as advanced fingerprint analysis techniques have been developed using MATLAB that focused on edge detection and analysis of important regions that contain distinctive properties such as average optical density, standard deviation, entropy, and identifying the most important regions. The data obtained was reduced by taking advantage of hybrid and advanced algorithms, which increased the accuracy of the fingerprint analysis process, using the hybrid POA algorithm. The results of this analysis confirm the importance of hybrid algorithms as a treatment in the pursuit of effective and accurate solutions, thus enabling the use of such algorithms in bioinformatics analyses, smart systems design, industrial resource management, security fields, and others.

The scientific committee included the following members:

• Dr. Bassem Abbas Hassan.– Chairman.
• Dr. Ghada Moayed Rashid- Member.
• Dr Ziad Muhammad Abdullah – Tikrit University – College of Computer Science and Mathematics – Member.
• Prof. Dr. Na’am AbdulMoneim AbdulMajid- Member.
• Prof. Dr. Suhaib AbdulJabbar AbdulBaqi- Member.
• Dr. Ban Ahmad Hassan Mitras – Member and supervisor.