Guiding surrogate-assisted multi-objective optimisation with decision maker preferences

Author:

Gibson Finley J.1,Everson Richard M.1,Fieldsend Jonathan E.1

Affiliation:

1. University of Exeter, Exeter, Devon, UK

Publisher

ACM

Reference49 articles.

1. Stamatios-Aggelos N Alexandropoulos , Christos K Aridas , Sotiris B Kotsiantis , and Michael N Vrahatis . 2019. Multi-objective evolutionary optimization algorithms for machine learning: A recent survey . In Approximation and optimization . Springer , 35--55. Stamatios-Aggelos N Alexandropoulos, Christos K Aridas, Sotiris B Kotsiantis, and Michael N Vrahatis. 2019. Multi-objective evolutionary optimization algorithms for machine learning: A recent survey. In Approximation and optimization. Springer, 35--55.

2. The Maximin Fitness Function; Multi-objective City and Regional Planning

3. A parameterless performance metric for reference-point based multi-objective evolutionary algorithms

4. Slim Bechikh , Marouane Kessentini , Lamjed Ben Said, and Khaled Ghédira . 2015 . Preference incorporation in evolutionary multiobjective optimization: A survey of the state-of-the-art. In Advances in Computers. Vol. 98 . Elsevier , 141--207. Slim Bechikh, Marouane Kessentini, Lamjed Ben Said, and Khaled Ghédira. 2015. Preference incorporation in evolutionary multiobjective optimization: A survey of the state-of-the-art. In Advances in Computers. Vol. 98. Elsevier, 141--207.

5. Jürgen Branke , Jurgen Branke , Kalyanmoy Deb , Kaisa Miettinen , and Roman Slowiński . 2008. Multiobjective optimization: Interactive and evolutionary approaches . Vol. 5252 . Springer Science & Business Media . Jürgen Branke, Jurgen Branke, Kalyanmoy Deb, Kaisa Miettinen, and Roman Slowiński. 2008. Multiobjective optimization: Interactive and evolutionary approaches. Vol. 5252. Springer Science & Business Media.

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