A robustness study of metaheuristics to the optimal design of RF integrated inductors

H. Marouani; A. Sallem; M. Chaoui; P. Pereira; N. Masmoudi

doi:10.1109/SSD.2018.8570384

A robustness study of metaheuristics to the optimal design of RF integrated inductors

H. Marouani, A. Sallem, M. Chaoui, P. Pereira, N. Masmoudi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, three metaheuristics are investigated to optimize RF Integrated Inductors; namely Differential Evolution (DE) from the field of evolutionary computation, Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions and Particle Swarm Optimization (PSO) inspired by swarm behaviors in nature. A particular interest is given to the optimization of RF Integrated Inductors. Performances in terms of optimum quality and computing time of the metaheuristics are checked via three test functions and one application that consist of optimizing performances of characterize integrated inductors based on the double $\pi$-model.

Original language	English
Title of host publication	2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1459-1464
Number of pages	6
ISBN (Electronic)	9781538653050
DOIs	https://doi.org/10.1109/SSD.2018.8570384
Publication status	Published - 7 Dec 2018
Event	15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 - Yassmine, Hammamet, Tunisia Duration: 19 Mar 2018 → 22 Mar 2018

Conference

Conference	15th International Multi-Conference on Systems, Signals and Devices, SSD 2018
Country/Territory	Tunisia
City	Yassmine, Hammamet
Period	19/03/18 → 22/03/18

Keywords

Differential Evolution
Gravitational Search Algoritm
Metaheuristics
Particle Swarm Optimization
RF Integrated Inductors

Access to Document

10.1109/SSD.2018.8570384

Cite this

Marouani, H., Sallem, A., Chaoui, M., Pereira, P., & Masmoudi, N. (2018). A robustness study of metaheuristics to the optimal design of RF integrated inductors. In 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 (pp. 1459-1464). Article 8570384 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SSD.2018.8570384

@inproceedings{b6d29aa04389418a8cc0b806e9a1562f,

title = "A robustness study of metaheuristics to the optimal design of RF integrated inductors",

abstract = "In this paper, three metaheuristics are investigated to optimize RF Integrated Inductors; namely Differential Evolution (DE) from the field of evolutionary computation, Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions and Particle Swarm Optimization (PSO) inspired by swarm behaviors in nature. A particular interest is given to the optimization of RF Integrated Inductors. Performances in terms of optimum quality and computing time of the metaheuristics are checked via three test functions and one application that consist of optimizing performances of characterize integrated inductors based on the double $\pi$-model.",

keywords = "Differential Evolution, Gravitational Search Algoritm, Metaheuristics, Particle Swarm Optimization, RF Integrated Inductors",

author = "H. Marouani and A. Sallem and M. Chaoui and P. Pereira and N. Masmoudi",

year = "2018",

month = dec,

day = "7",

doi = "10.1109/SSD.2018.8570384",

language = "English",

pages = "1459--1464",

booktitle = "2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 ; Conference date: 19-03-2018 Through 22-03-2018",

}

Marouani, H, Sallem, A, Chaoui, M, Pereira, P & Masmoudi, N 2018, A robustness study of metaheuristics to the optimal design of RF integrated inductors. in 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018., 8570384, Institute of Electrical and Electronics Engineers (IEEE), pp. 1459-1464, 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018, Yassmine, Hammamet, Tunisia, 19/03/18. https://doi.org/10.1109/SSD.2018.8570384

A robustness study of metaheuristics to the optimal design of RF integrated inductors. / Marouani, H.; Sallem, A.; Chaoui, M. et al.
2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1459-1464 8570384.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A robustness study of metaheuristics to the optimal design of RF integrated inductors

AU - Marouani, H.

AU - Sallem, A.

AU - Chaoui, M.

AU - Pereira, P.

AU - Masmoudi, N.

PY - 2018/12/7

Y1 - 2018/12/7

N2 - In this paper, three metaheuristics are investigated to optimize RF Integrated Inductors; namely Differential Evolution (DE) from the field of evolutionary computation, Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions and Particle Swarm Optimization (PSO) inspired by swarm behaviors in nature. A particular interest is given to the optimization of RF Integrated Inductors. Performances in terms of optimum quality and computing time of the metaheuristics are checked via three test functions and one application that consist of optimizing performances of characterize integrated inductors based on the double $\pi$-model.

AB - In this paper, three metaheuristics are investigated to optimize RF Integrated Inductors; namely Differential Evolution (DE) from the field of evolutionary computation, Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions and Particle Swarm Optimization (PSO) inspired by swarm behaviors in nature. A particular interest is given to the optimization of RF Integrated Inductors. Performances in terms of optimum quality and computing time of the metaheuristics are checked via three test functions and one application that consist of optimizing performances of characterize integrated inductors based on the double $\pi$-model.

KW - Differential Evolution

KW - Gravitational Search Algoritm

KW - Metaheuristics

KW - Particle Swarm Optimization

KW - RF Integrated Inductors

UR - http://www.scopus.com/inward/record.url?scp=85060651510&partnerID=8YFLogxK

U2 - 10.1109/SSD.2018.8570384

DO - 10.1109/SSD.2018.8570384

M3 - Conference contribution

AN - SCOPUS:85060651510

SP - 1459

EP - 1464

BT - 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018

Y2 - 19 March 2018 through 22 March 2018

ER -

A robustness study of metaheuristics to the optimal design of RF integrated inductors

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this