Towards a quantum-inspired Multi-Gene Linear Genetic Programming model

Guilherme Cesário Strachan; Adriano Soares Koshiyama; Douglas Mota Dias; Marley M.B.R. Vellasco; Marco Aurélio Cavalcanti Pacheco

doi:10.1145/2598394.2598476

Towards a quantum-inspired Multi-Gene Linear Genetic Programming model

Guilherme Cesário Strachan
, Adriano Soares Koshiyama
, Douglas Mota Dias
, Marley M.B.R. Vellasco
, Marco Aurélio Cavalcanti Pacheco

Pontifícia Universidade Católica do Rio de Janeiro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a new model for regression problems based on Multi-Gene and Quantum Inspired Linear Genetic Programming. We discuss theoretical aspects, operators, representation, and experimental results.

Original language	English
Title of host publication	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference
Publisher	Association for Computing Machinery
Pages	149-150
Number of pages	2
ISBN (Print)	9781450328814
DOIs	https://doi.org/10.1145/2598394.2598476
Publication status	Published - 2014
Externally published	Yes
Event	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion - Vancouver, BC, Canada Duration: 12 Jul 2014 → 16 Jul 2014

Publication series

Name	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

Conference

Conference	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion
Country/Territory	Canada
City	Vancouver, BC
Period	12/07/14 → 16/07/14

Keywords

Multi-gene genetic programming
Quantum-inspired algorithm
Symbolic regression

Access to Document

10.1145/2598394.2598476

Cite this

Strachan, G. C., Koshiyama, A. S., Dias, D. M., Vellasco, M. M. B. R., & Pacheco, M. A. C. (2014). Towards a quantum-inspired Multi-Gene Linear Genetic Programming model. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference (pp. 149-150). (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). Association for Computing Machinery. https://doi.org/10.1145/2598394.2598476

Strachan, Guilherme Cesário ; Koshiyama, Adriano Soares ; Dias, Douglas Mota et al. / Towards a quantum-inspired Multi-Gene Linear Genetic Programming model. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. pp. 149-150 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

@inproceedings{2c8bb648f6174cb39e781827b457dc68,

title = "Towards a quantum-inspired Multi-Gene Linear Genetic Programming model",

abstract = "This paper presents a new model for regression problems based on Multi-Gene and Quantum Inspired Linear Genetic Programming. We discuss theoretical aspects, operators, representation, and experimental results.",

keywords = "Multi-gene genetic programming, Quantum-inspired algorithm, Symbolic regression",

author = "Strachan, \{Guilherme Ces{\'a}rio\} and Koshiyama, \{Adriano Soares\} and Dias, \{Douglas Mota\} and Vellasco, \{Marley M.B.R.\} and Pacheco, \{Marco Aur{\'e}lio Cavalcanti\}",

year = "2014",

doi = "10.1145/2598394.2598476",

language = "English",

isbn = "9781450328814",

series = "GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference",

publisher = "Association for Computing Machinery",

pages = "149--150",

booktitle = "GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference",

note = "16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion ; Conference date: 12-07-2014 Through 16-07-2014",

}

Strachan, GC, Koshiyama, AS, Dias, DM, Vellasco, MMBR & Pacheco, MAC 2014, Towards a quantum-inspired Multi-Gene Linear Genetic Programming model. in GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 149-150, 16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion, Vancouver, BC, Canada, 12/07/14. https://doi.org/10.1145/2598394.2598476

Towards a quantum-inspired Multi-Gene Linear Genetic Programming model. / Strachan, Guilherme Cesário; Koshiyama, Adriano Soares; Dias, Douglas Mota et al.
GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. p. 149-150 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Strachan, Guilherme Cesário

AU - Koshiyama, Adriano Soares

AU - Dias, Douglas Mota

AU - Vellasco, Marley M.B.R.

AU - Pacheco, Marco Aurélio Cavalcanti

PY - 2014

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AB - This paper presents a new model for regression problems based on Multi-Gene and Quantum Inspired Linear Genetic Programming. We discuss theoretical aspects, operators, representation, and experimental results.

KW - Multi-gene genetic programming

KW - Quantum-inspired algorithm

KW - Symbolic regression

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U2 - 10.1145/2598394.2598476

DO - 10.1145/2598394.2598476

M3 - Conference contribution

AN - SCOPUS:84905666731

SN - 9781450328814

T3 - GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

SP - 149

EP - 150

BT - GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

PB - Association for Computing Machinery

T2 - 16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion

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ER -

Strachan GC, Koshiyama AS, Dias DM, Vellasco MMBR, Pacheco MAC. Towards a quantum-inspired Multi-Gene Linear Genetic Programming model. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery. 2014. p. 149-150. (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). doi: 10.1145/2598394.2598476

Towards a quantum-inspired Multi-Gene Linear Genetic Programming model

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Keywords

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