Output details
15 - General Engineering
University of Exeter
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Article title
Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
Type
D - Journal article
Title of journal
Environmental Modelling & Software
Article number
-
Volume number
24
Issue number
4
First page of article
530
ISSN of journal
13648152
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
Determining best sensor locations in pipe networks is a major issue for the UK water industry which is currently spending millions of pounds on installing new devices. The methodology presented here is a paradigm shift in thinking which acknowledges explicitly the existence of a number of uncertainties in the process. The paper also features the new, generic MOGA-ANN optimisation method which has been later on used to solve a range of other important problems (pump scheduling, distribution system rehabilitation and urban drainage network redesign/operation) by this and other authors.
Interdisciplinary
-
Cross-referral requested
-
Research group
6 - The Water and Environment group
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-