Particle Swarm Optimisation - An Alternative in Marine Propeller Optimisation?
Conference contribution, 2014

Nature inspired algorithms emerged for the use in automated engineering design optimisations.These are readily applicable but require a significant number of evaluations. The purpose of this paper is two folded: 1) To develop a particle swarm algorithm (PSO) adapted towards multi-objective optimisation and constraint handling for the use in propeller design; 2) To assess optimisation results in a comparable standard. The development of two PSO algorithms are outlined and tested in optimisations of four different propellers. The results are evaluated by consulting the generation medians and Pareto front development which are compared to a benchmark algorithm.

Author

Florian Vesting

Chalmers, Shipping and Marine Technology, Division of Marine Design

Rickard Bensow

Chalmers, Shipping and Marine Technology, Division of Marine Design

Proceedings of the 17th Numerical Towing Tank Symposium

Areas of Advance

Transport

Energy

Subject Categories

Computational Mathematics

Marine Engineering

More information

Created

10/6/2017