Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals

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

@InProceedings{Yamagata:2017:IIAI-AAI,

• author = "Yuuki Yamagata and Tetsuhiro Miyahara and Yusuke Suzuki and Tomoyuki Uchida and Fumiya Tokuhara and Tetsuji Kuboyama",
• booktitle = "2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)",
• title = "Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals",
• year = "2017",
• pages = "459--464",
• abstract = "Knowledge acquisition from graph structured data is an important task in machine learning and data mining. TTSP (Two-Terminal Series Parallel) graphs are used as data models for electric networks and scheduling. We propose a learning method for acquiring characteristic multiple graph structured patterns by evolutionary computation using sets of TTSP graph patterns as individuals, from positive and negative TTSP graph data, in order to represent sets of TTSP graphs more precisely.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/IIAI-AAI.2017.198",
• month = jul,
• notes = "Also known as \cite{8113288}",

}

Genetic Programming entries for Yuuki Yamagata Tetsuhiro Miyahara Yusuke Suzuki Tomoyuki Uchida Fumiya Tokuhara Tetsuji Kuboyama

Citations