Reference Points Generated on Unit Hypersurfaces for MaOEAs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Takeuchi:2021:ICT,
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author = "Haruto Takeuchi and Md. Kawsar Khan and Makoto Ohki",
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title = "Reference Points Generated on Unit Hypersurfaces for
MaOEAs",
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booktitle = "2021 International Conference on Innovation and
Intelligence for Informatics, Computing, and
Technologies (3ICT)",
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year = "2021",
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pages = "614--619",
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abstract = "This paper proposes a method to uniformly generate
reference points on a hypersurface for many-objective
optimization evolutionary algorithms (MaOEAs).
Recently, MaOEAs have been proposed to obtain selection
pressure in a multidimensional objective space by using
a reference point set, but there is no method for
generating a reference point set that is supposed to
incorporate user orientation. This paper proposes a
method for generating uniform reference points on unit
hyperspheres and unit hyperplanes in a multidimensional
objective space. The proposed method is applied to the
multi-objective genetic programming (GP) problem by
non-dominated sorting genetic algorithm-III (NSGA-III)
and to the multi-objective combinatorial optimization
problem by multiobjective evolutionary algorithm based
on decomposition (MOEA/D). As a result, we confirm that
the proposed method gives non-inferior results compared
to conventional methods. Since the proposed method can
easily incorporate user orientation, this shows the
effectiveness of the proposed method.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/3ICT53449.2021.9581958",
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month = sep,
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notes = "Also known as \cite{9581958}",
- }
Genetic Programming entries for
Haruto Takeuchi
Md Kawsar Khan
Makoto Ohki
Citations