Development and application of optimisation algorithms for propeller design
Journal article, 2016

Propeller design is a comprehensive task in finding the best trade-off between competing objectives and constraints. It requires a multi-disciplinary evaluation of the propeller performance based on various input parameters. Thus optimisation algorithm applied to this type of problem require consideration of the problem to solve. The purpose of this paper is hence the improvement of commonly used population-based algorithms (NSGA-II and PSO) towards the application of marine propeller design. The extension to three algorithms are outlined utilising meta models, adapted constraints and modified constraints handling. The proposed algorithms are applied on a real-life marine propeller example. Results of 13 optimisations are compared in terms of optimisation convergence, constraints compliance and Pareto optimality and show advantageous performance of the developed cavitation constraints and the meta-model extended NSGA-II.

Marine propeller design

Potential flow simulation

Population based optimisation algorithm

Cavitation constraints




Florian Vesting

Chalmers, Shipping and Marine Technology, Marine Technology

Rickard Gustafsson

Rolls-Royce PLC

Rickard Bensow

Chalmers, Shipping and Marine Technology, Marine Technology

Ship Technology Research

0937-7255 (ISSN) 20567111 (eISSN)

Vol. 63 1 50-69

Driving Forces

Sustainable development

Areas of Advance


Life Science Engineering (2010-2018)

Subject Categories

Civil Engineering

Computational Mathematics

Mathematical Analysis



More information

Latest update

9/6/2018 2