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Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach

AuthID
P-00K-VGP

Author(s)

Goncalves, I

Silva, S

Fonseca, CM

Castelli, M

Editor(s)

Friedrich, T

Document Type

Proceedings Paper

Year published

2016

Published

in PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION)

Pages: 99-100 (2)

Conference

Genetic and Evolutionary Computation Conference (Gecco), Date: JUL 20-24, 2016, Location: Denver, CO, Sponsors: Assoc Comp Machinery Special Interest Grp Genet & Evolutionary Computat

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Publication Identifiers

DOI: 10.1145/2908961.2908988

SCOPUS: 2-s2.0-84986325947

Wos: WOS:000383741800050

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Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach

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Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach

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