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.
Extending local search in geometric semantic genetic programming / Castelli, Mauro; Manzoni, Luca; Mariot, Luca; Saletta, Martina. - ELETTRONICO. - 11804:(2019), pp. 775-787. ( 19th EPIA Conference on Artificial Intelligence, EPIA 2019 Vila Real, Portugal 2019) [10.1007/978-3-030-30241-2_64].
Extending local search in geometric semantic genetic programming
Manzoni Luca;
2019-01-01
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.| File | Dimensione | Formato | |
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