Interactive multi-objective particle swarm optimisation using decision space interaction

Jan Hettenhausen, Andrew Lewis, Marcus Randall, Timoleon Kipouros

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

18 Citations (Scopus)
22 Downloads (Pure)

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.

Original languageEnglish
Title of host publication2013 IEEE Congress on Evolutionary Computation, CEC 2013
Place of Publicationonline
PublisherWiley-IEEE Press
Pages3411-3418
Number of pages8
ISBN (Print)9781479904549
DOIs
Publication statusPublished - 2013
Event2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, Cancun, Mexico
Duration: 20 Jun 201323 Jun 2013

Conference

Conference2013 IEEE Congress on Evolutionary Computation, CEC 2013
CountryMexico
CityCancun
Period20/06/1323/06/13

Fingerprint

Multi-objective Optimization
Particle swarm optimization (PSO)
Particle Swarm Optimization
Decision making
Multiobjective optimization
Decision Making
Airfoils
Interaction
Model Complexity
Metaheuristics
Optimization Problem
Interval

Cite this

Hettenhausen, J., Lewis, A., Randall, M., & Kipouros, T. (2013). Interactive multi-objective particle swarm optimisation using decision space interaction. In 2013 IEEE Congress on Evolutionary Computation, CEC 2013 (pp. 3411-3418). [6557988] online: Wiley-IEEE Press. https://doi.org/10.1109/CEC.2013.6557988
Hettenhausen, Jan ; Lewis, Andrew ; Randall, Marcus ; Kipouros, Timoleon. / Interactive multi-objective particle swarm optimisation using decision space interaction. 2013 IEEE Congress on Evolutionary Computation, CEC 2013. online : Wiley-IEEE Press, 2013. pp. 3411-3418
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Hettenhausen, J, Lewis, A, Randall, M & Kipouros, T 2013, Interactive multi-objective particle swarm optimisation using decision space interaction. in 2013 IEEE Congress on Evolutionary Computation, CEC 2013., 6557988, Wiley-IEEE Press, online, pp. 3411-3418, 2013 IEEE Congress on Evolutionary Computation, CEC 2013, Cancun, Mexico, 20/06/13. https://doi.org/10.1109/CEC.2013.6557988

Interactive multi-objective particle swarm optimisation using decision space interaction. / Hettenhausen, Jan; Lewis, Andrew; Randall, Marcus; Kipouros, Timoleon.

2013 IEEE Congress on Evolutionary Computation, CEC 2013. online : Wiley-IEEE Press, 2013. p. 3411-3418 6557988.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Hettenhausen J, Lewis A, Randall M, Kipouros T. Interactive multi-objective particle swarm optimisation using decision space interaction. In 2013 IEEE Congress on Evolutionary Computation, CEC 2013. online: Wiley-IEEE Press. 2013. p. 3411-3418. 6557988 https://doi.org/10.1109/CEC.2013.6557988