NDLI: Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks

Content Provider	IEEE Xplore Digital Library
Author	Kampouridis, M. Glover, T. Shaghaghi, A.R. Tsang, E.
Copyright Year	2012
Description	Author affiliation: British Telecoms Labs, Adastral Park, Ipswich, UK (Glover, T.) \|\| Centre for Computational Finance and Economic Agents, University of Essex, Wivenhoe Park, CO4 3SQ, UK (Shaghaghi, A.R.; Tsang, E.) \|\| School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ, UK (Kampouridis, M.)
Abstract	Fiber optics is a relatively new technology, one which has not yet been extensively used, because of its high cost. In order to evaluate the viability of such a costly investment, techno-economic models are employed. These models evaluate the investment from both technical (e.g., optimal network design) and economical (e.g., profitability) perspectives. However, an area that has not received much attention is the deployment plans of a given fiber optic investment. Existing works usually compare manually predefined deployment plans that are considered profitable, and then apply techno-economic analysis. While this indeed offers valuable information, it does not guarantee that the examined plans are the optimal ones. This should be considered as a major disadvantage, because there could be other deployment plans that could offer significantly higher profit. This paper offers a first attempt at looking for the optimal deployment plan of fiber optics, based on profit. Our method can be considered as a framework that wraps around existing techno-economic models. We employ a Genetic Algorithm (GA), which creates a population of deployment plans. These plans can then be evaluated through the usual techno-economic approach. The GA then evolves the population of these plans and at the end of the process acts as a decision support tool that advises on the optimal deployment plan, without the need for any human interference in the decision-making process. For comparison purposes, we compare the GA's results with results under other profitable plans. Results show that the introduction of the use of the GA is very advantageous and leads to a significant increase in profit.
Starting Page	1
Ending Page	8
File Size	956678
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6252864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Genetic algorithms Economics Investments Cities and towns Companies Optical fibers
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A financial and technological model for public regional broadband infrastructure

Ieee cec using a genetic algorithm as a decision support tool for the deployment of fiber optic networks.

PCS network using subcarrier multiplexed fiber optic links: capabilities and limitations

Optimising the deployment of fibre optics using Guided Local Search

The Design of a Decision Support Tool for Delivery and Deployment Models

Clustering approaches for cost-effective deployment of Australia's National Broadband Network

Evaluating the Agricultural Information Degree Using a Novel Genetic Algorithm

A business model for managing municipal metropolitan area networks: the special case of Greece

An improved genetic algorithm using the convex hull for traveling salesman problem

Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks

Similar Documents

A financial and technological model for public regional broadband infrastructure

Ieee cec using a genetic algorithm as a decision support tool for the deployment of fiber optic networks.

PCS network using subcarrier multiplexed fiber optic links: capabilities and limitations

Optimising the deployment of fibre optics using Guided Local Search

The Design of a Decision Support Tool for Delivery and Deployment Models

Clustering approaches for cost-effective deployment of Australia's National Broadband Network

Evaluating the Agricultural Information Degree Using a Novel Genetic Algorithm

A business model for managing municipal metropolitan area networks: the special case of Greece

An improved genetic algorithm using the convex hull for traveling salesman problem

Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks