Machining Parameters Optimization using Hybrid Firefly Algorithm and Particle Swarm Optimization
Nur Farahlina Johari, Azlan Mohd Zain, Noorfa Haszlinna Mustaffa, Amirmudin Udin · Journal of Physics Conference Series · 2017
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.