OPTIMIZATION OF CUTTING PARAMETERS BY NATURE-INSPIRED ALGORITHMS
DOI:
https://doi.org/10.24867/02AM02AleksicKeywords:
Optimization, Nature-inspired algorithm, ant colony optimization, particle swarm optimizationAbstract
This paper gives a brief overview of the importance of modeling the processing process as well as the basic modeling model. There is a theoretical part about optimization methods, suc as: local search, simulated anneling and bat algorithm. Ant colony optimization i particle swarm optimization are described in detail. Experimental research and a mathematical model based on which ACO, PSO and GA (genetic algorithm) were performed were presented. Comparison of the reults obrained by optimization with the nature-inspired algorithms (ACO, PSO and GA) was also compared with a classical optimization method Taguchi method. At the end of the work, there is an attachment in which the prin screens of the MATLAB user interface are presented, with ACO, PSO and GA optimization.
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