Doctoral dissertation in the Department of Computer Science discusses an improved bee’s nest algorithm for solving real-world multi-party optimization problems
The Department of Computer Science defended the PhD thesis entitled An Improved Ant Nesting Algorithm For Solving Multi Objective Optimization Problems In Real World
The student (Noor Ahmed Rashid) Computer Science / General on Wednesday 5/2/2025 at the late Dr. Imad Kazim Hall in the Computer Science Department building. The thesis presents a new and innovative optimization framework called Multi-Objective Ant Nesting Algorithm (MOANA) which is designed to address complex multi-objective problems in various fields where its strategy is derived from the natural behavior of bees. The results showed the superiority of this algorithm in different scenarios and its efficiency when used in resource management and healthcare. The discussion committee consisted of Dr. Abbas Mohsen Al-Bakri as chairman, Dr. Aliaa Karim Abdulhassan, Dr. Shaima Hamid Shaker, Dr. Rehab Fleih Hassan, Dr. Asya Ali Salman, Dr. Yusra Hussein Ali as member and supervisor, and Dr. Tariq Ahmed Rashid as member and supervisor.
