318 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of IcelandIS60 papers
- Komar University of Science and TechnologyIQ50 papers
- National United UniversityTW40 papers
- Reykjavík UniversityIS38 papers
- University of Kurdistan HewlerIQ14 papers
- Salahaddin University-ErbilIQ13 papers
- National Institute of Materials PhysicsRO10 papers
- National Taiwan UniversityTW8 papers
- Sulaimani Polytechnic UniversityIQ7 papers
- TRIUMFCA7 papers
- University of GuelphCA7 papers
- Yerevan State UniversityAM7 papers
6 papers · 1 filter
Modified Bat Algorithm: A Newly Proposed Approach for Solving Complex and Real-World Problems
Shahla U. Umar, Tarik A. Rashid, Aram M. Ahmed +2
Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently explore complex problem spaces and find near-optimal solutions. The algorithm is insp…
Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
Hozan K. Hamarashid, Bryar A. Hassan, Tarik A. Rashid
Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent algorithms. Recently, FDO has been enhanced several times to improve its capability. One of the i…
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…
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…
Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process
Jaza M. Abdullah, Tarik A. Rashid
In this paper, a novel swarm intelligent algorithm is proposed, known as the fitness dependent optimizer (FDO). The bee swarming reproductive process and their collective decision-…