Open AccessOptimization of Electromagnetic Devices using a RSM Enhanced ACOR Algorithm
Author(s) -
Anton Duca,
AUTHOR_ID,
Bianca Lamba,
AUTHOR_ID
Publication year - 2021
Publication title -
analele universităţii din craiova. seria inginerie electrică
Language(s) - English
Resource type - Journals
eISSN - 2971-9852
pISSN - 1842-4805
DOI - 10.52846/aucee.2021.1.06
Subject(s) - metaheuristic , set (abstract data type) , computer science , solenoid , electromagnetics , response surface methodology , optimal design , algorithm , mathematical optimization , mathematics , engineering , electronic engineering , mechanical engineering , machine learning , programming language
The present paper proposes and studies the efficiency of using a RSM enhanced ACOR algorithm for the optimization of electromagnetic devices. Different RSM methods, such as Box-Behnken, CCD and Doelhert, are applied to find most suitable parameters (optimal set) for the ACOR in order to solve the corresponding electromagnetic optimization problems. The parameters optimal set is found by building a metaheuristic function. In the same time, the optimal parameter set is searched and determined for each electromagnetic problems for different objective functions, the best and the average global best solution for a tests set. The electromagnetic devices to be optimized are the Loney’s solenoid and an energy storage device, as defined by the TEAM22 problem. Both electromagnetic problems are proposed benchmarks from electromagnetic community