# 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 proceedingConference contribution

### 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 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 Institute of Electrical and Electronics Engineers Inc. 1459-1464 6 9781538653050 https://doi.org/10.1109/SSD.2018.8570384 Published - 7 Dec 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 - Yassmine, Hammamet, TunisiaDuration: 19 Mar 2018 → 22 Mar 2018

### Conference

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

### Fingerprint

inductors
Metaheuristics
Evolutionary algorithms
Particle swarm optimization (PSO)
Gravitation
Robustness
Evolutionary Computation
Differential Evolution
Pi
Swarm
Test function
Search Algorithm
Particle Swarm Optimization
Gravity
optimization
Optimise
Optimization
Computing
Interaction
gravitation

### Keywords

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

### 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). [8570384] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD.2018.8570384
Marouani, H. ; Sallem, A. ; Chaoui, M. ; Pereira, P. ; Masmoudi, N. / A robustness study of metaheuristics to the optimal design of RF integrated inductors. 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1459-1464
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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 = "12",
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 Inc.",
address = "United States",

}

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 Inc., 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.; Pereira, P.; Masmoudi, N.

2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1459-1464 8570384.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

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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.

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KW - Gravitational Search Algoritm

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KW - Particle Swarm Optimization

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DO - 10.1109/SSD.2018.8570384

M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Marouani H, Sallem A, Chaoui M, Pereira P, Masmoudi N. 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. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1459-1464. 8570384 https://doi.org/10.1109/SSD.2018.8570384