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Output details

11 - Computer Science and Informatics

University of Exeter

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Output 4 of 38 in the submission
Article title

A general multi-objective hyper-heuristic for water distribution network design with discolouration risk

Type
D - Journal article
Title of journal
Journal of Hydroinformatics
Article number
-
Volume number
15
Issue number
3
First page of article
700
ISSN of journal
1464-7141
Year of publication
2013
URL
-
Number of additional authors
-
Additional information

<12> This work is one of the first papers to explore the use of hyper-heuristics in water distribution network (WDN) optimisation. The paper describes a new multi-objective hyperheuristic known as the Markov-chain hyper-heuristic (MCHH) that shows significant improvements against well-established metaheuristic optimisation techniques, NSGAII and SPEA2. The method explores the trade-off between hydraulic performance and the risk of discolouration of water, a difficult problem affecting all UK water companies. The work on MCHH formed the basis of a successful EPSRC funding application (EP/K000519/1) which has UK industry involvement. This journal has a 5-year impact factor of 1.46.

Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-