Constraint programming based multi-objective sensor network design for fault diagnosis
DSpace at IIT Bombay
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Title |
Constraint programming based multi-objective sensor network design for fault diagnosis
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Creator |
KOTECHA, PR
BHUSHAN, M GUDI, RD |
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Subject |
plants
constraint programming(cp) sensor network design multiobjective optimization |
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Description |
Optimal placement of sensors based on different criteria viz., precision, reliability, cost, and fault unobservability has been an important area of research in the last few years. Most of the sensor location problems proposed in literature have been solved either using graph theoretic approaches or conventional mathematical optimization techniques. However, these techniques have not been able to satisfactorily address the issue of tradeoffs between multiple objectives, the determination of which is important from a designer's perspective in terms of providing design flexibility. In this article, we address this challenge by proposing the use of Constraint Programming (CP) as a potential alternative to conventional solution techniques to determine the pareto optimal solutions. CP is an intelligent enumeration based optimization technique that uses domain reduction as its inference engine and has recently emerged as a powerful tool for solving combinatorial optimization problem in operations research. We also present efficient reformulation of some existing problems using the superior modelling power of CP.
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Publisher |
ELSEVIER SCIENCE BV
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Date |
2011-10-22T03:27:29Z
2011-12-15T09:10:41Z 2011-10-22T03:27:29Z 2011-12-15T09:10:41Z 2007 |
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Type |
Proceedings Paper
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Identifier |
17TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING,24,745-750
978-0-444-53157-5 1570-7946 http://dspace.library.iitb.ac.in/xmlui/handle/10054/14809 http://hdl.handle.net/100/1599 |
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Source |
17th European Symposium on Computer Aided Process Engineering (ESCAPE-17),Bucharest, ROMANIA,MAY 27-30, 2007
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Language |
English
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