Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.8612

@InProceedings{Chen:2017:EuroGP,

• author = "Qi Chen and Bing Xue and Yi Mei and Mengjie Zhang",
• title = "Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression",
• booktitle = "EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming",
• year = "2017",
• month = "19-21 " # apr,
• editor = "Mauro Castelli and James McDermott and Lukas Sekanina",
• series = "LNCS",
• volume = "10196",
• publisher = "Springer Verlag",
• address = "Amsterdam",
• pages = "229--245",
• organisation = "species",
• keywords = "genetic algorithms, genetic programming: Poster",
• isbn13 = "978-3-319-55695-6",
• DOI = "10.1007/978-3-319-55696-3_15",
• abstract = "Recent research shows that incorporating semantic knowledge into the genetic programming (GP) evolutionary process can improve its performance. This work proposes an angle-aware mating scheme for geometric semantic crossover in GP for symbolic regression. The angle-awareness guides the crossover operating on parents which have a large angle between their relative semantics to the target semantics. The proposed idea of angle-awareness has been incorporated into one state-of-the-art geometric crossover, the locally geometric semantic crossover. The experimental results show that, compared with locally geometric semantic crossover and the regular GP crossover, the locally geometric crossover with angle-awareness not only has a significantly better learning performance but also has a notable generalisation gain on unseen test data. Further analysis has been conducted to see the difference between the angle distribution of crossovers with and without angle-awareness, which confirms that the angle-awareness changes the original distribution of angles by decreasing the number of parents with zero degree while increasing their counterparts with large angles, leading to better performance.",
• notes = "Part of \cite{Castelli:2017:GP} EuroGP'2017 held inconjunction with EvoCOP2017, EvoMusArt2017 and EvoApplications2017",

}

Genetic Programming entries for Qi Chen Bing Xue Yi Mei Mengjie Zhang

Citations