Oliveira, Luiz O.V.B. and Otero, Fernando E.B. and Pappa, Gisele L. (2018) A Generic Framework for Building Dispersion Operators in the Semantic Space. In: Genetic Programming Theory and Practice XIV. Genetic and Evolutionary Computation . Springer, pp. 179-195. ISBN 978-3-319-97088-2. E-ISBN 978-3-319-97087-5. (doi:10.1007/978-3-319-97088-2_12) (KAR id:59297)
PDF
Author's Accepted Manuscript
Language: English
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
|
|
Download this file (PDF/210kB) |
![]() |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: http://dx.doi.org/10.1007/978-3-319-97088-2_12 |
Abstract
This chapter proposes a generic framework to build geometric dispersion (GD) operators for Geometric Semantic Genetic Programming in the context of symbolic regression, followed by two concrete instantiations of the framework: a multiplicative geometric dispersion operator and an additive geometric dispersion operator. These operators move individuals in the semantic space in order to balance the population around the target output in each dimension, with the objective of expanding the convex hull defined by the population to include the desired output vector. An experimental analysis was conducted in a testbed composed of sixteen datasets showing that dispersion operators can improve GSGP search and that the multiplicative version of the operator is overall better than the additive version.
Item Type: | Book section |
---|---|
DOI/Identification number: | 10.1007/978-3-319-97088-2_12 |
Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Fernando Otero |
Date Deposited: | 30 Nov 2016 13:49 UTC |
Last Modified: | 09 Dec 2022 03:41 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/59297 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):