TY  - JOUR
AU  - Hameed, Fariaa Abdalmajeed 
AU  - Hasan, Harith Raad 
AU  - Ahmed, Ahmed Abdullah 
AU  - Amin, Gulala Ali Hama 
PY  - 2020
TI  - Using the Cuckoo Search for Generating New Particles in Particle Swarm Optimization Algorithm
JF  - Journal of Computer Science
VL  - 16
IS  - 4
DO  - 10.3844/jcssp.2020.430.438
UR  - https://thescipub.com/abstract/jcssp.2020.430.438
AB  - This study is focused on as Cuckoo Search (CS), one of the current meta-heuristic optimization algorithm. The CS algorithm is useful in generating and searching for the most optimum particles of important meta-heuristic optimization algorithm, known as the Particle Swarm Optimization (PSO), to enhance its performance. This optimization is confirmed through a benchmark online optimization and actual problems. The PSO algorithm performance is also compared with differing algorithms representative of the area. The CS optimal solutions outperform alternative current solutions as CS has distinct search features. The study findings have implications for future studies and practice.