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.
(2019). Extending Local Search in Geometric Semantic Genetic Programming . Retrieved from https://hdl.handle.net/10446/265020
Extending Local Search in Geometric Semantic Genetic Programming
Saletta, Martina
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 allegato/i alla scheda:
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