CUED Publications database

Interactive multi-objective particle swarm optimisation using decision space interaction

Hettenhausen, J and Lewis, A and Randall, M and Kipouros, T (2013) Interactive multi-objective particle swarm optimisation using decision space interaction. 2013 IEEE Congress on Evolutionary Computation, CEC 2013. pp. 3411-3418.

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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. © 2013 IEEE.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div C > Engineering Design
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:04
Last Modified: 08 Dec 2014 02:17
DOI: 10.1109/CEC.2013.6557988