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.Full text not available from this repository.
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.
|Divisions:||Div C > Engineering Design|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:33|
|Last Modified:||21 Jan 2017 03:18|