Genetic Network Programming with Simplified Genetic Operators

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

@InProceedings{Li:2013:ICONIP,

• author = "Xianneng Li and Wen He and Kotaro Hirasawa",
• title = "Genetic Network Programming with Simplified Genetic Operators",
• booktitle = "International Conference on Neural Information Processing, ICONIP 2013, Part II",
• year = "2013",
• editor = "Minho Lee and Akira Hirose and Zeng-Guang Hou and RheeMan Kil",
• volume = "8227",
• series = "Lecture Notes in Computer Science",
• pages = "51--58",
• address = "Daegu, Korea",
• month = nov # " 3-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, genetic network programming, directed graph, transition by necessity, invalid evolution",
• isbn13 = "978-3-642-42041-2",
• URL = "http://link.springer.com/chapter/10.1007/978-3-642-42042-9_7",
• DOI = "doi:10.1007/978-3-642-42042-9_7",
• size = "8 pages",
• abstract = "Recently, a novel type of evolutionary algorithms (EAs), called Genetic Network Programming (GNP), has been proposed. Inspired by the complex human brain structures, GNP develops a distinguished directed graph structure for its individual representations, consequently showing an excellent expressive ability for modelling a range of complex problems. This paper is dedicated to reveal GNP's unique features. Accordingly, simplified genetic operators are proposed to highlight such features of GNP, reduce its computational effort and provide better results. Experimental results are presented to confirm its effectiveness over original GNP and several state-of-the-art algorithms.",

}

Genetic Programming entries for Xianneng Li Wen He Kotaro Hirasawa

Citations