@inproceedings{2563fd9420ae42ff9b48a4207f95112e,
title = "Extending local search in geometric semantic genetic programming",
abstract = "In this paper we continue the investigation of the effect of local search in geometric semantic genetic programming (GSGP), with the introduction of a new general local search operator that can be easily customized. We show that it is able to obtain results on par with the current best-performing GSGP with local search and, in most cases, better than standard GSGP.",
author = "Mauro Castelli and Luca Manzoni and Luca Mariot and Martina Saletta",
note = "info:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0022%2F2018/PT# Castelli, M., Manzoni, L., Mariot, L., & Saletta, M. (2019). Extending local search in geometric semantic genetic programming. In P. Moura Oliveira, P. Novais, & L. P. Reis (Eds.), Progress in Artificial Intelligence : 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Proceedings (pp. 775-787). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11804 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-30241-2_64; 19th EPIA Conference on Artificial Intelligence, EPIA 2019 ; Conference date: 03-09-2019 Through 06-09-2019",
year = "2019",
month = sep,
day = "1",
doi = "10.1007/978-3-030-30241-2_64",
language = "English",
isbn = "978-3-030-30240-5",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "775--787",
editor = "{Moura Oliveira}, Paulo and Paulo Novais and Reis, {Lu{\'i}s Paulo}",
booktitle = "Progress in Artificial Intelligence",
address = "Germany",
}