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Genetic algorithm for contaminant source characterization using imperfect sensors.
- Source :
-
Civil Engineering & Environmental Systems . Mar2008, Vol. 25 Issue 1, p29-39. 11p. 2 Diagrams, 7 Charts, 1 Graph. - Publication Year :
- 2008
-
Abstract
- A simple, straightforward, modified genetic algorithm scheme for contaminant source characterization using imperfect sensors is presented and demonstrated in this study. Previous work on this subject concentrated on developing source-inversion models using sensors that provide accurate, unbiased, contamination concentration measurements. The developed contamination source-detection model is implemented using three sensor types: (1) perfect sensors providing accurate, unbiased, contamination concentration measurements; (2) sensors transmitting fuzzy measured information (i.e., high, medium, and low contamination); and (3) '0-1' (Boolean) sensors indicating only a contamination presence. A comparison between the three sensor types is explored taking into consideration thesystem's response time (i.e., the time elapsed between a contaminant detection and a decision-maker's response action). The methodology capabilities are demonstrated using two example applications of increasing complexity, showing the trade-offs between the sensor types and the model abilities to receive a unique solution to the source-detection problem. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10286608
- Volume :
- 25
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Civil Engineering & Environmental Systems
- Publication Type :
- Academic Journal
- Accession number :
- 30024465
- Full Text :
- https://doi.org/10.1080/10286600701695471