- author = "Luiz Otavio V. B. Oliveira and Luis Fernando Miranda and Gisele L. Pappa and Fernando E. B. Otero and Ricardo H. C. Takahashi",
- title = "Reducing Dimensionality to Improve Search in Semantic Genetic Programming",
- booktitle = "14th International Conference on Parallel Problem Solving from Nature",
- year = "2016",
- editor = "Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter",
- volume = "9921",
- series = "LNCS",
- pages = "375--385",
- address = "Edinburgh",
- month = "17-21 " # sep,
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, Dimensionality reduction, Instance selection",
- isbn13 = "978-3-319-45823-6",
-
URL = "
https://kar.kent.ac.uk/id/eprint/56211",
-
URL = "
https://core.ac.uk/download/pdf/42412374.pdf",
-
DOI = "
doi:10.1007/978-3-319-45823-6_35",
- size = "11 pages",
- abstract = "Genetic programming approaches are moving from analysing the syntax of individual solutions to look into their semantics. One of the common definitions of the semantic space in the context of symbolic regression is a n-dimensional space, where n corresponds to the number of training examples. In problems where this number is high, the search process can became harder as the number of dimensions increase. Geometric semantic genetic programming (GSGP) explores the semantic space by performing geometric semantic operations, the fitness landscape seen by GSGP is guaranteed to be conic by construction. Intuitively, a lower number of dimensions can make search more feasible in this scenario, decreasing the chances of data overfitting and reducing the number of evaluations required to find a suitable solution. This paper proposes two approaches for dimensionality reduction in GSGP: (i) to apply current instance selection methods as a pre-process step before training points are given to GSGP; (ii) to incorporate instance selection to the evolution of GSGP. Experiments in 15 datasets show that GSGP performance is improved by using instance reduction during the evolution.",
-
notes = "p382 'TCNN and TENN ... no better than ... a random
selection'
PPSN2016 http://ppsn2016.org",
