Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters

  • Dídac Rodríguez Arbonès
  • Boyin Ding
  • Nataliia Y. Sergiienko
  • Markus WagnerEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9921)


Despite 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.


Wave energy Multi-objective optimisation Simulation speed-up 



This work has been supported by the ARC Discovery Early Career Researcher Award DE160100850.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Dídac Rodríguez Arbonès
    • 1
  • Boyin Ding
    • 2
  • Nataliia Y. Sergiienko
    • 2
  • Markus Wagner
    • 3
    Email author
  1. 1.Datalogisk InstitutUniversity of CopenhagenCopenhagenDenmark
  2. 2.School of Mechanical EngineeringThe University of AdelaideAdelaideAustralia
  3. 3.School of Computer ScienceThe University of AdelaideAdelaideAustralia

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