Multi-objective optimization of an electrode pair for electrochemotherapy: M-NSGA and 𝜇-BIMO comparison

Article type: Research Article

Authors: Di Barba, Paolo^a | Dughiero, Fabrizio^b | Mognaschi, Maria Evelina^a | Sieni, Elisabetta^c;

Affiliations: [a] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy | [b] Department of Industrial Engineering, University of Padua, Padova, Italy | [c] Department of Theoretical and Applied Sciences, Insubria University, Varese, Italy

Correspondence: [*] Corresponding author: Elisabetta Sieni, Department of Theoretical and Applied Sciences, Insubria University, Via Dunant 3, 21100 Varese, Italy. E-mail: [email protected]

Abstract: In the paper, a multi-objective optimization of an electrode pair for electrochemotherapy is performed. The aim is to design the electrode pair geometry in order to obtain an effective treatment, which means a homogeneous and suitable electric field distribution. To solve this problem, two recently developed algorithms, M-NSGA and 𝜇-BiMO, are applied.

Keywords: Electric field, electrochemotherapy, finite-element methods, optimal design

DOI: 10.3233/JAE-191114

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 60, no. S1, pp. S163-S172, 2019