NDLI: Deep Space Network Scheduling Using Evolutionary Computational Methods

Content Provider	IEEE Xplore Digital Library
Author	Guillaume, A. Seugnwon Lee Yeou-Fang Wang Hua Zheng Hovden, R. Chau, S. Yu-Wen Tung Terrile, R.J.
Copyright Year	2007
Description	Author affiliation: Jet Propulsion Lab., Pasadena (Guillaume, A.; Seugnwon Lee; Yeou-Fang Wang; Hua Zheng; Hovden, R.; Chau, S.; Yu-Wen Tung; Terrile, R.J.)
Abstract	The deep space network (DSN) is an international network of antennas that supports all of NASA's deep space missions. With the increasing demand of tracking time, DSN is highly over-subscribed. Therefore, the allocation of the DSN resources should be optimally scheduled to satisfy the requirements of as many missions as possible. Currently, the DSN schedules are manually and iteratively generated through several meetings to resolve conflicts. In an attempt to ease the burden of the DSN scheduling task, we have applied evolutionary computational techniques to the DSN scheduling problem. These methods provide a decision support system by automatically generating a population of optimized schedules under varying conflict conditions. These schedules are used to decide the simplest path to resolve conflicts as new scheduled items are added or changed along the scheduled 26 weeks. This paper presents the specific approach taken to formulate the problem in terms of gene encoding, fitness function, and genetic operations. The genome is encoded such that a subset of the scheduling constraints is automatically satisfied. Several fitness functions are formulated to emphasize different aspects of the scheduling problem. The optimal solutions of the different fitness functions demonstrate the trade-off of the scheduling problem and provide insight into a conflict resolution process.
Starting Page	1
Ending Page	6
File Size	398794
Page Count	6
File Format	PDF
ISBN	1424405246
ISSN	1095323X
DOI	10.1109/AERO.2007.352900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Computer networks Space missions Resource management Decision support systems Optimization methods Encoding Genetics Genomics Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Aerospace Engineering Space and Planetary Science

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

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