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Fertilization optimization algorithm on CEC2015 and large scale problems

Hazim Nasir Ghafil, Shaymaa Alsamia, Kâroly Jármai

2021Pollack Periodica12 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

Scale (ratio)Mathematical optimizationOptimization algorithmHuman fertilizationComputer scienceMeta-optimizationLévy flightOptimization problemAlgorithmMathematicsBiologyPhysicsAgronomyRandom walkQuantum mechanicsStatisticsMetaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization Algorithms
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