Abstract
This paper describes the optimization of an air core reactor using Particle Swarm Optimization (PSO) combined with the finite element analysis. The aim is to reduce material volume costs in manufacturing and maintenance. PSO is a nature-inspired optimization algorithm that simulates swarm behavior in search of the best solution in a multidimensional search space. This article employs the PSO optimization method as an initial contribution to the design of single-phase air-core reactors, suggesting the possibility of further studies comparing its efficacy with other heuristic algorithms on the subject in the future.
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