Reference Points Generated on Unit Hypersurfaces for MaOEAs

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Takeuchi:2021:ICT,

• author = "Haruto Takeuchi and Md. Kawsar Khan and Makoto Ohki",
• title = "Reference Points Generated on Unit Hypersurfaces for MaOEAs",
• booktitle = "2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)",
• year = "2021",
• pages = "614--619",
• 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.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/3ICT53449.2021.9581958",
• month = sep,
• notes = "Also known as \cite{9581958}",

}

Genetic Programming entries for Haruto Takeuchi Md Kawsar Khan Makoto Ohki

Citations