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Sequence analysis-based hyper-heuristics for water distribution network optimisation

Research output: Contribution to journalJournal article

<mark>Journal publication date</mark>2015
<mark>Journal</mark>Procedia Engineering
Issue number1
Number of pages9
Pages (from-to)1269-1277
Publication statusPublished
Original languageEnglish


Hyper-heuristics operate at the level above traditional (meta-)heuristics that 'optimise the optimiser'. These algorithms can combine low level heuristics to create bespoke algorithms for particular classes of problems. The low level heuristics can be mutation operators or hill climbing algorithms and can include industry expertise. This paper investigates the use of a new hyper-heuristic based on sequence analysis in the biosciences, to develop new optimisers that can outperform conventional evolutionary approaches. It demonstrates that the new algorithms develop high quality solutions on benchmark water distribution network optimisation problems efficiently, and can yield important information about the problem search space.