Using nonlinear optical networks for optimization: primer of the ant colony algorithm

Using nonlinear Erbium doped optical fiber network we have implemented an optimization algorithm for the famous problem of finding the shortest path on the map for the ant colony to travel to the foraging area.

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Main Authors: Zheludev, Nikolay I., Hu, Wenchao, Wu, Kan, Shum, Perry Ping, Soci, Cesare
Other Authors: School of Physical and Mathematical Sciences
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/87611
http://hdl.handle.net/10220/46800
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-876112023-02-28T19:17:10Z Using nonlinear optical networks for optimization: primer of the ant colony algorithm Zheludev, Nikolay I. Hu, Wenchao Wu, Kan Shum, Perry Ping Soci, Cesare School of Physical and Mathematical Sciences CLEO: QELS_Fundamental Science 2014 Centre for Disruptive Photonic Technologies (CDPT) Optics In Computing Optical Processing Devices DRNTU::Science::Physics Using nonlinear Erbium doped optical fiber network we have implemented an optimization algorithm for the famous problem of finding the shortest path on the map for the ant colony to travel to the foraging area. Published version 2018-12-04T08:09:32Z 2019-12-06T16:45:37Z 2018-12-04T08:09:32Z 2019-12-06T16:45:37Z 2014 Conference Paper Hu, W., Wu, K., Shum, P. P., Zheludev, N. I., & Soci, C. (2014). Using Nonlinear Optical Networks for Optimization: Primer of the Ant Colony Algorithm. CLEO: QELS_Fundamental Science 2014, FM1D.8-. doi:10.1364/CLEO_QELS.2014.FM1D.8 https://hdl.handle.net/10356/87611 http://hdl.handle.net/10220/46800 10.1364/CLEO_QELS.2014.FM1D.8 en © 2014 The Author(s) Optical Society of America(OSA). This paper was published in CLEO: QELS_Fundamental Science 2014 and is made available as an electronic reprint (preprint) with permission of The Author(s) Optical Society of America(OSA). The published version is available at: [http://dx.doi.org/10.1364/CLEO_QELS.2014.FM1D.8]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 2 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Optics In Computing
Optical Processing Devices
DRNTU::Science::Physics
spellingShingle Optics In Computing
Optical Processing Devices
DRNTU::Science::Physics
Zheludev, Nikolay I.
Hu, Wenchao
Wu, Kan
Shum, Perry Ping
Soci, Cesare
Using nonlinear optical networks for optimization: primer of the ant colony algorithm
description Using nonlinear Erbium doped optical fiber network we have implemented an optimization algorithm for the famous problem of finding the shortest path on the map for the ant colony to travel to the foraging area.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Zheludev, Nikolay I.
Hu, Wenchao
Wu, Kan
Shum, Perry Ping
Soci, Cesare
format Conference or Workshop Item
author Zheludev, Nikolay I.
Hu, Wenchao
Wu, Kan
Shum, Perry Ping
Soci, Cesare
author_sort Zheludev, Nikolay I.
title Using nonlinear optical networks for optimization: primer of the ant colony algorithm
title_short Using nonlinear optical networks for optimization: primer of the ant colony algorithm
title_full Using nonlinear optical networks for optimization: primer of the ant colony algorithm
title_fullStr Using nonlinear optical networks for optimization: primer of the ant colony algorithm
title_full_unstemmed Using nonlinear optical networks for optimization: primer of the ant colony algorithm
title_sort using nonlinear optical networks for optimization: primer of the ant colony algorithm
publishDate 2018
url https://hdl.handle.net/10356/87611
http://hdl.handle.net/10220/46800
_version_ 1759853677002096640