NDLI: Alignment Properties in Ordinal Comparison of Discrete Event Dynamic Systems

Content Provider	Springer Nature Link
Author	Dai, Liyi Wieselthier, Jeffrey E.
Copyright Year	1999
Abstract	In the design and optimization of discrete event dynamic systems, it is often necessary to order alternative designs based on their relative performance, i.e., to rank them from best to worst. In this paper, alignment of observed performance orders with true orders is considered and properties of the alignment are investigated. Spearman's rank correlation coefficient is a measure of agreement between the observed performance orders and the true ones. It is shown that Spearman's coefficient converges exponentially in the simulation time or observation time, which gives a strong evidence of the efficiency of order comparison for discrete event dynamic systems. In the context of simulation, the effect of simulation dependence on the alignment is also discussed. It is found that neither independent simulation nor the scheme of common random numbers (CRN), a popular scheme for variance reduction, can yield dominant performance. Finally, numerical examples based on a networking optimization problem are provided to illustrate the convergence of Spearman's coefficient. In these examples, the standard clock (SC) simulation technique provides much faster convergence than either independent simulations or CRN simulations. Both the SC and CRN methods use the same random number sequence to drive many events in parallel; however, under SC the events driving the parallel experiments are all identical, whereas under CRN they may be different.
Starting Page	261
Ending Page	284
Page Count	24
File Format	PDF
ISSN	09246703
Journal	Discrete Event Dynamic Systems
Volume Number	9
Issue Number	3
e-ISSN	15737594
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	1999-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Systems Theory, Control Convex and Discrete Geometry Manufacturing, Machines, Tools Electronic and Computer Engineering Operation Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Modeling and Simulation

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

Convergence Rate of Ordinal Optimization for Stochastic Discrete Event Systems

Ordinal Comparison via the Nested Partitions Method

Intelligent Control Paradigm for Dynamic Discrete Event System Simulation

Quantifying Heuristics in the Ordinal Optimization Framework

Aggregation in Hierarchical Discrete-Event Systems

Supervisor Reduction for Discrete-Event Systems

Ordinal Optimization and Quantification of Heuristic Designs

Modular Control and Coordination of Discrete-Event Systems

Ordinal Hill Climbing Algorithms for Discrete Manufacturing Process Design Optimization Problems

Alignment Properties in Ordinal Comparison of Discrete Event Dynamic Systems

Similar Documents

Convergence Rate of Ordinal Optimization for Stochastic Discrete Event Systems

Ordinal Comparison via the Nested Partitions Method

Intelligent Control Paradigm for Dynamic Discrete Event System Simulation

Quantifying Heuristics in the Ordinal Optimization Framework

Aggregation in Hierarchical Discrete-Event Systems

Supervisor Reduction for Discrete-Event Systems

Ordinal Optimization and Quantification of Heuristic Designs

Modular Control and Coordination of Discrete-Event Systems

Ordinal Hill Climbing Algorithms for Discrete Manufacturing Process Design Optimization Problems

Alignment Properties in Ordinal Comparison of Discrete Event Dynamic Systems