Fertilization optimization algorithm on CEC2015 and large scale problems

Autor: Hazim Nasir Ghafil, Shaymaa Alsamia, Károly Jármai
Rok vydání: 2022
Předmět:
Zdroj: Pollack Periodica. 17:24-29
ISSN: 1788-3911
1788-1994
DOI: 10.1556/606.2021.00343
Popis: This work, presents a novel optimizer called fertilization optimization algorithm, which is based on levy flight and random search within a search space. It is a biologically inspired algorithm by the fertilization of the egg in reproduction of mammals. The performance of the algorithm was compared with other optimization algorithms on CEC2015 time expensive benchmarks and large scale optimization problems. Remarkably, the fertilization optimization algorithm has overcome other optimizers in many cases and the examination and comparison results are encouraging to use the fertilization optimization algorithm in other possible applications.
Databáze: OpenAIRE