Extending local search in geometric semantic genetic programming

Mauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)
15 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence
Subtitle of host publication19th EPIA Conference on Artificial Intelligence, EPIA 2019, Proceedings
EditorsPaulo Moura Oliveira, Paulo Novais, Luís Paulo Reis
PublisherSpringer Verlag
Pages775-787
Number of pages13
ISBN (Electronic)978-3-030-30241-2
ISBN (Print)978-3-030-30240-5
DOIs
Publication statusPublished - 1 Sept 2019
Event19th EPIA Conference on Artificial Intelligence, EPIA 2019 - Vila Real, Portugal
Duration: 3 Sept 20196 Sept 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11804 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th EPIA Conference on Artificial Intelligence, EPIA 2019
Country/TerritoryPortugal
CityVila Real
Period3/09/196/09/19

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