Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability

Daniele Melati; Abi Waqas; Dan Xia Xu; Andrea Melloni

Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability

Daniele Melati
, Abi Waqas
, Dan Xia Xu
, Andrea Melloni

National Research Council of Canada
Polytechnic University of Milan
Mehran University of Engineering & Technology

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

Abstract

We propose an efficient technique based on polynomial chaos expansion and genetic algorithms to enable constrained optimization of photonic integrated circuits subject to fabrication tolerances. Simulations on a realistic SOI design confirm its effectiveness.

Original language	English
Title of host publication	2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781943580385
Publication status	Published - 13 Jun 2018
Externally published	Yes
Event	2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - San Diego, United States Duration: 11 Mar 2018 → 15 Mar 2018

Publication series

Name	2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings

Conference

Conference	2018 Optical Fiber Communications Conference and Exposition, OFC 2018
Country/Territory	United States
City	San Diego
Period	11/03/18 → 15/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Cite this

Melati, D., Waqas, A., Xu, D. X., & Melloni, A. (2018). Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability. In 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings (pp. 1-3). (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

Melati, Daniele ; Waqas, Abi ; Xu, Dan Xia et al. / Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability. 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-3 (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings).

@inproceedings{4eb531060eaa4826bee37a11ce60e51c,

title = "Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability",

abstract = "We propose an efficient technique based on polynomial chaos expansion and genetic algorithms to enable constrained optimization of photonic integrated circuits subject to fabrication tolerances. Simulations on a realistic SOI design confirm its effectiveness.",

author = "Daniele Melati and Abi Waqas and Xu, \{Dan Xia\} and Andrea Melloni",

note = "Publisher Copyright: {\textcopyright} 2018 OSA.; 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 ; Conference date: 11-03-2018 Through 15-03-2018",

year = "2018",

month = jun,

day = "13",

language = "English",

series = "2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--3",

booktitle = "2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings",

address = "United States",

}

Melati, D, Waqas, A, Xu, DX & Melloni, A 2018, Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability. in 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 2018 Optical Fiber Communications Conference and Exposition, OFC 2018, San Diego, United States, 11/03/18.

Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability. / Melati, Daniele; Waqas, Abi; Xu, Dan Xia et al.
2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3 (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings).

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

TY - GEN

T1 - Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability

AU - Melati, Daniele

AU - Waqas, Abi

AU - Xu, Dan Xia

AU - Melloni, Andrea

PY - 2018/6/13

Y1 - 2018/6/13

N2 - We propose an efficient technique based on polynomial chaos expansion and genetic algorithms to enable constrained optimization of photonic integrated circuits subject to fabrication tolerances. Simulations on a realistic SOI design confirm its effectiveness.

AB - We propose an efficient technique based on polynomial chaos expansion and genetic algorithms to enable constrained optimization of photonic integrated circuits subject to fabrication tolerances. Simulations on a realistic SOI design confirm its effectiveness.

UR - https://www.scopus.com/pages/publications/85050009872

M3 - Conference proceeding

AN - SCOPUS:85050009872

T3 - 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings

SP - 1

EP - 3

BT - 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 Optical Fiber Communications Conference and Exposition, OFC 2018

Y2 - 11 March 2018 through 15 March 2018

ER -

Melati D, Waqas A, Xu DX, Melloni A. Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability. In 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3. (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings).

Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability

Abstract

Publication series

Conference

UN SDGs

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