NDLI: Supervisory evolutionary optimization strategy for adaptive maintenance schedules

Content Provider	IEEE Xplore Digital Library
Author	Wang, Z. Chang, C.S.
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576 (Chang, C.S.) \|\| Department of Computer Science, Institute of High Performance Computing, Singapore 138623 (Wang, Z.)
Abstract	A supervisory strategy is proposed for improving the performance of an evolutionary-algorithm-based system-maintenance optimizer developed in our previous work for offshore power systems. The system-maintenance optimizer generates a set of initial maintenance plans, and exports them to an intelligent maintenance advisor connected to it for implementation. The proposed supervisory strategy uses a set of intelligent rules for adjusting the crossover and mutation rates of the present evolutionary algorithm. A mechanism is developed for refining and generalizing the supervisory rules according to the user's experience. The proposed supervisory strategy aims to improve the search ability and efficiency of the present evolutionary algorithm. Merits of the proposed supervisory strategy are demonstrated in case studies using our system-maintenance optimizer.
Starting Page	1137
Ending Page	1142
File Size	348003
Page Count	6
File Format	PDF
ISBN	9781424493104
e-ISBN	9781424493128
e-ISBN	9781424493111
DOI	10.1109/ISIE.2011.5984204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-27
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maintenance engineering Reliability Genetics Markov processes Optimization Mathematical model Equations System Maintenance Optimizer Adaptive Maintenance Advisor Offshore Power System Supervisory Evolutionary Optimization Strategy Supervisory Rules
Content Type	Text
Resource Type	Article

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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
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