Title

Interactive multi-objective particle swarm optimisation using decision space interaction

Date of this Version

6-20-2013

Document Type

Journal Article

Publication Details

Citation only

Hettenhausen, J., Lewis, A., Randall., M., & Kipouros, T. (2013, June) . Interactive multi-objective particle swarm optimisation using decision space interaction. Paper presented at the 2013 IEEE congress on Evolutionary Computation, Cancun, Mexico.

Access the conference

2013 HERDC submission. FoR code: 010303; 080110

© Copyright, IEEE, 2013

ISSN

978-1-4799-0452-5

Abstract

The most common approach to decision making in multi-objective optimisation with metaheuristics is a posteriori preference articulation. Increased model complexity and a gradual increase of optimisation problems with three or more objectives have revived an interest in progressively interactive decision making, where a human decision maker interacts with the algorithm at regular intervals. This paper presents an interactive approach to multi-objective particle swarm optimisation (MOPSO) using a novel technique to preference articulation based on decision space interaction and visual preference articulation. The approach is tested on a 2D aerofoil design case study and comparisons are drawn to non-interactive MOPSO.

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This document has been peer reviewed.