Fast and effective multi-objective optimisation of submerged wave energy converters

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dc.contributor.authorArbonès, D.
dc.contributor.authorDing, B.
dc.contributor.authorSergiienko, N.
dc.contributor.authorWagner, M.
dc.contributor.conference14th International Conference on Parallel Problem Solving from Nature (PPSN XIV) (17 Sep 2016 - 21 Sep 2016 : Edinburgh, United Kingdom)
dc.contributor.editorHandl, J.
dc.contributor.editorHart, E.
dc.contributor.editorLewis, P.R.
dc.contributor.editorLopezIbanez, M.
dc.contributor.editorOchoa, G.
dc.contributor.editorPaechter, B.
dc.date.issued2016
dc.description.abstractDespite its considerable potential, wave energy has not yet reached full commercial development. Currently, dozens of wave energy projects are exploring a variety of techniques to produce wave energy efficiently. A common design for a wave energy converter is called a buoy. A buoy typically floats on the surface or just below the surface of the water, and captures energy from the movement of the waves. In this article, we tackle the multi-objective variant of this problem: we are taking into account the highly complex interactions of the buoys, while optimising the energy yield, the necessary area, and the cable length needed to connect all buoys. We employ caching-techniques and problem-specific variation operators to make this problem computationally feasible. This is the first time the interactions between wave energy resource and array configuration are studied in a multi-objective way.
dc.description.statementofresponsibilityDídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko, and Markus Wagner
dc.identifier.citationLecture Notes in Artificial Intelligence, 2016 / Handl, J., Hart, E., Lewis, P.R., LopezIbanez, M., Ochoa, G., Paechter, B. (ed./s), vol.9921, pp.675-685
dc.identifier.doi10.1007/978-3-319-45823-6_63
dc.identifier.isbn9783319458229
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.orcidDing, B. [0000-0001-8417-8057]
dc.identifier.orcidSergiienko, N. [0000-0002-3418-398X]
dc.identifier.orcidWagner, M. [0000-0002-3124-0061]
dc.identifier.urihttp://hdl.handle.net/2440/107761
dc.language.isoen
dc.publisherSpringer
dc.relation.granthttp://purl.org/au-research/grants/arc/DE160100850
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rights© Springer International Publishing AG 2016
dc.source.urihttps://doi.org/10.1007/978-3-319-45823-6_63
dc.subjectWave energy, multi-objective optimisation, simulation speed-up
dc.titleFast and effective multi-objective optimisation of submerged wave energy converters
dc.typeConference paper
pubs.publication-statusPublished

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