NDLI: Machining Parameters Optimization using Hybrid Firefly Algorithm and Particle Swarm Optimization

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Machining Parameters Optimization using Hybrid Firefly Algorithm and Particle Swarm Optimization

Content Provider	Scilit
Author	Johari, Nur Farahlina Zain, Azlan Mohd Mustaffa, Noorfa Haszlinna Udin, Amirmudin
Copyright Year	2017
Description	Journal: Journal of Physics: Conference Series Firefly Algorithm (FA) is a metaheuristic algorithm that is inspired by the flashing behavior of fireflies and the phenomenon of bioluminescent communication and the algorithm is used to optimize the machining parameters (feed rate, depth of cut, and spindle speed) in this research. The algorithm is hybridized with Particle Swarm Optimization (PSO) to discover better solution in exploring the search space. Objective function of previous research is used to optimize the machining parameters in turning operation. The optimal machining cutting parameters estimated by FA that lead to a minimum surface roughness are validated using ANOVA test.
Related Links	http://iopscience.iop.org/article/10.1088/1742-6596/892/1/012005/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/892/1/012005
Journal	Journal of Physics: Conference Series
Volume Number	892
Language	English
Publisher	IOP Publishing
Publisher Date	2017-09-21
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Manufacturing Engineering Machining Parameters Particle Swarm Optimization Surface Roughness
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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