Genetic Programming 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings /

This book constitutes the refereed proceedings of the 21st European Conference on Genetic Programming, EuroGP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events, EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers presented together with 8 poster papers we...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Castelli, Mauro (Editor, http://id.loc.gov/vocabulary/relators/edt), Sekanina, Lukas (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhang, Mengjie (Editor, http://id.loc.gov/vocabulary/relators/edt), Cagnoni, Stefano (Editor, http://id.loc.gov/vocabulary/relators/edt), García-Sánchez, Pablo (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Theoretical Computer Science and General Issues ; 10781
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:This book constitutes the refereed proceedings of the 21st European Conference on Genetic Programming, EuroGP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events, EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including analysis of feature importance for metabolomics, semantic methods, evolution of boolean networks, generation of redundant features, ensembles of GP models, automatic design of grammatical representations, GP and neuroevolution, visual reinforcement learning, evolution of deep neural networks, evolution of graphs, and scheduling in heterogeneous networks.
Physical Description:XII, 323 p. 80 illus. online resource.
ISBN:9783319775531
DOI:10.1007/978-3-319-77553-1