A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs

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@InProceedings{Ohki:2021:SISY,

• author = "Makoto Ohki",
• title = "A Fundamental Technique Generating Reference Points on Hypersurfaces for MaOEAs",
• booktitle = "2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY)",
• year = "2021",
• pages = "27--32",
• 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 GP problem by NSGA-III and to the multi-objective combinatorial optimization problem by MOEA/D. The proposed method has given non-inferior results to conventional methods. Since the proposed method can easily incorporate user orientation, this shows the effectiveness of the proposed method.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SISY52375.2021.9582482",
• ISSN = "1949-0488",
• month = sep,
• notes = "Also known as \cite{9582482}",

}

Genetic Programming entries for Makoto Ohki

Citations