Multi-objective robust early stage ship design optimisation under uncertainty utilising surrogate models

Alexandros Priftis, Evangelos Boulougouris, Osman Turan, Georgios Atzampos

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)
19 Downloads (Pure)


The paper addresses the parametric design and multi-objective optimisation of ships under uncertainty, applying the Holistic Optimisation Design Approach. The methodology starts with the creation of a detailed parametric model that captures both the external and internal geometric characteristics of the vessel, along with the integration of a number of numerical tools, purposely developed in order to determine each variant’s performance. This allows the evaluation of a multitude of merit functions and design constraints, all part of the optimisation problem. In contrast to previous approaches, the uncertainties introduced by the physical and financial environment are incorporated in the model, providing a more realistic representation of the solution space to the decision maker. The developed methodology is applied on a case study of a Ro-Pax ship, optimised in the concept design phase with regard to the minimisation of the total resistance, required freight rate and building cost.
Original languageEnglish
Article number106850
Number of pages12
JournalOcean Engineering
Early online date9 Jan 2020
Publication statusPublished - 1 Feb 2020


  • parametric design
  • ship design
  • optimisation
  • uncertainty
  • surrogate model


Dive into the research topics of 'Multi-objective robust early stage ship design optimisation under uncertainty utilising surrogate models'. Together they form a unique fingerprint.

Cite this