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

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

doi:10.1364/OFC.2018.M3I.4

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	Optical Fiber Communication Conference, OFC 2018
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580385
DOIs	https://doi.org/10.1364/OFC.2018.M3I.4
Publication status	Published - 2018
Externally published	Yes
Event	Optical Fiber Communication Conference, OFC 2018 - San Diego, United States Duration: 11 Mar 2017 → 15 Mar 2017

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F84-OFC 2018
ISSN (Electronic)	2162-2701

Conference

Conference	Optical Fiber Communication Conference, OFC 2018
Country/Territory	United States
City	San Diego
Period	11/03/17 → 15/03/17

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1364/OFC.2018.M3I.4

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 Optical Fiber Communication Conference, OFC 2018 (Optics InfoBase Conference Papers; Vol. Part F84-OFC 2018). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/OFC.2018.M3I.4

@inproceedings{5ca9b62a5aad420db9eae83d4fa2a275,

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} OSA 2018.; Optical Fiber Communication Conference, OFC 2018 ; Conference date: 11-03-2017 Through 15-03-2017",

year = "2018",

doi = "10.1364/OFC.2018.M3I.4",

language = "English",

isbn = "9781943580385",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optical Fiber Communication Conference, OFC 2018",

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 Optical Fiber Communication Conference, OFC 2018. Optics InfoBase Conference Papers, vol. Part F84-OFC 2018, Optica Publishing Group (formerly OSA), Optical Fiber Communication Conference, OFC 2018, San Diego, United States, 11/03/17. https://doi.org/10.1364/OFC.2018.M3I.4

Genetic algorithm and polynomial chaos modelling for performance optimization of photonic circuits under manufacturing variability. / Melati, Daniele; Waqas, Abi; Xu, Dan Xia et al.
Optical Fiber Communication Conference, OFC 2018. Optica Publishing Group (formerly OSA), 2018. (Optics InfoBase Conference Papers; Vol. Part F84-OFC 2018).

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

Y1 - 2018

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/85047166901

U2 - 10.1364/OFC.2018.M3I.4

DO - 10.1364/OFC.2018.M3I.4

M3 - Conference proceeding

AN - SCOPUS:85047166901

SN - 9781943580385

T3 - Optics InfoBase Conference Papers

BT - Optical Fiber Communication Conference, OFC 2018

PB - Optica Publishing Group (formerly OSA)

T2 - Optical Fiber Communication Conference, OFC 2018

Y2 - 11 March 2017 through 15 March 2017

ER -

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

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this