"Purpose – The purpose of this paper is to present the application of a novel hybrid algorithm, called. MeTEO (Metric-Topological-Evolutionary-Optimization), based on the combination of three heuristics. inspired by artificial life to the solution of optimization problems of a real electronic vacuum device.. Design\/methodology\/approach – The Particle Swarm Optimization (PSO), the Flock-of-Starlings. Optimization (FSO) and the Bacterial Chemotaxis Algorithm (BCA) were adapted to implement a novel. meta-heuristic MeTEO the FSO has been powerfully employed for exploring the whole space of. solutions, whereas the PSO is used to explore local regions where FSO had found solutions, and BCA. to refine the solutions found by PSO, thanks its better performances in local search.. Findings – The optimization of the focusing magnetic field of a Travelling Wave Tubes (TWT). collector is presented in order to show the effectiveness of MeTEO, in combination with COLLGUN FE. simulator and equivalent source representation. The optimization of the focusing magnetic structure is. obtained by using a maximum of 100 steps for each heuristic.. Practical implications – The paper describes the development of a novel efficient parallel method. for the solution of electromagnetic device optimization problems.. Originality\/value – The paper shows the capabilities of a novel combination of optimization methods. inspired by “artificial life” which allows us to achieve effective solutions of multimodal optimization. problems, typical of the electromagnetic device optimization, with an acceptable computational cost,. thanks also to its natural parallel implementation."

RIGANTI FULGINEI, F., Laudani, A., Salvini, A., Coco, S., Pollicino, G., Pulcini, G. (2012). TWT magnetic focusing structure optimization by parallel evolutionary algorithm. COMPEL, 31(5), 1338-1346 [10.1108/03321641211246347].

TWT magnetic focusing structure optimization by parallel evolutionary algorithm

RIGANTI FULGINEI, Francesco;LAUDANI, ANTONINO;SALVINI, Alessandro;
2012-01-01

Abstract

"Purpose – The purpose of this paper is to present the application of a novel hybrid algorithm, called. MeTEO (Metric-Topological-Evolutionary-Optimization), based on the combination of three heuristics. inspired by artificial life to the solution of optimization problems of a real electronic vacuum device.. Design\/methodology\/approach – The Particle Swarm Optimization (PSO), the Flock-of-Starlings. Optimization (FSO) and the Bacterial Chemotaxis Algorithm (BCA) were adapted to implement a novel. meta-heuristic MeTEO the FSO has been powerfully employed for exploring the whole space of. solutions, whereas the PSO is used to explore local regions where FSO had found solutions, and BCA. to refine the solutions found by PSO, thanks its better performances in local search.. Findings – The optimization of the focusing magnetic field of a Travelling Wave Tubes (TWT). collector is presented in order to show the effectiveness of MeTEO, in combination with COLLGUN FE. simulator and equivalent source representation. The optimization of the focusing magnetic structure is. obtained by using a maximum of 100 steps for each heuristic.. Practical implications – The paper describes the development of a novel efficient parallel method. for the solution of electromagnetic device optimization problems.. Originality\/value – The paper shows the capabilities of a novel combination of optimization methods. inspired by “artificial life” which allows us to achieve effective solutions of multimodal optimization. problems, typical of the electromagnetic device optimization, with an acceptable computational cost,. thanks also to its natural parallel implementation."
RIGANTI FULGINEI, F., Laudani, A., Salvini, A., Coco, S., Pollicino, G., Pulcini, G. (2012). TWT magnetic focusing structure optimization by parallel evolutionary algorithm. COMPEL, 31(5), 1338-1346 [10.1108/03321641211246347].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/278500
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 14
social impact