文章基本信息

标题：Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU
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作者：Masato Yoshimi ; Takuya Kuhara ; Kaname Nishimoto 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2012
卷号：5
期号：3
页码：129-137
DOI：10.4236/jsea.2012.53020
出版社：Scientific Research Publishing
摘要：In this study, we visualize Pareto-optimum solutions derived from multiple-objective optimization using spherical self-organizing maps (SOMs) that lay out SOM data in three dimensions. There have been a wide range of studies involving plane SOMs where Pareto-optimal solutions are mapped to a plane. However, plane SOMs have an issue that similar data differing in a few specific variables are often placed at far ends of the map, compromising intuitiveness of the visualization. We show in this study that spherical SOMs allow us to find similarities in data otherwise undetectable with plane SOMs. We also implement and evaluate the performance using parallel sphere processing with several GPU environments.
关键词：Self-Organizing Map; SOM; Spherical; GPU; Pareto-Optimal Solutions; GPU Acceleration