Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @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 = "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