Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing

Aliyu Sambo; R. Muhammad Atif Azad; Yevgeniya Kovalchuk; Vivek Indramohan; Hanifa Shah

doi:10.1145/3449726.3459583

Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing

Aliyu Sambo^*, R. Muhammad Atif Azad, Yevgeniya Kovalchuk, Vivek Indramohan, Hanifa Shah

^*Corresponding author for this work

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

Original language	English
Title of host publication	GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
Publisher	Association for Computing Machinery
Pages	265-266
Number of pages	2
ISBN (Electronic)	9781450383516
DOIs	https://doi.org/10.1145/3449726.3459583
Publication status	Published (VoR) - 7 Jul 2021
Event	2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France Duration: 10 Jul 2021 → 14 Jul 2021

Publication series

Name	GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

Conference

Conference	2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Country/Territory	France
City	Virtual, Online
Period	10/07/21 → 14/07/21

Funding

PhD Classic - BCU.

Keywords

complexity
generalisation
genetic programming
regression

Access to Document

10.1145/3449726.3459583

Cite this

Sambo, A., Azad, R. M. A., Kovalchuk, Y., Indramohan, V., & Shah, H. (2021). Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 265-266). (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion). Association for Computing Machinery. https://doi.org/10.1145/3449726.3459583

Sambo, Aliyu ; Azad, R. Muhammad Atif ; Kovalchuk, Yevgeniya et al. / Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, 2021. pp. 265-266 (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion).

@inproceedings{7a90976f293d4738a54ebce36d268062,

title = "Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing",

keywords = "complexity, generalisation, genetic programming, regression",

author = "Aliyu Sambo and Azad, \{R. Muhammad Atif\} and Yevgeniya Kovalchuk and Vivek Indramohan and Hanifa Shah",

note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 2021 Genetic and Evolutionary Computation Conference, GECCO 2021 ; Conference date: 10-07-2021 Through 14-07-2021",

year = "2021",

month = jul,

day = "7",

doi = "10.1145/3449726.3459583",

language = "English",

series = "GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery",

pages = "265--266",

booktitle = "GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion",

}

Sambo, A, Azad, RMA, Kovalchuk, Y, Indramohan, V & Shah, H 2021, Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. in GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, pp. 265-266, 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Virtual, Online, France, 10/07/21. https://doi.org/10.1145/3449726.3459583

Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. / Sambo, Aliyu; Azad, R. Muhammad Atif; Kovalchuk, Yevgeniya et al.
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, 2021. p. 265-266 (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion).

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

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T1 - Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing

AU - Sambo, Aliyu

AU - Azad, R. Muhammad Atif

AU - Kovalchuk, Yevgeniya

AU - Indramohan, Vivek

AU - Shah, Hanifa

PY - 2021/7/7

Y1 - 2021/7/7

KW - complexity

KW - generalisation

KW - genetic programming

KW - regression

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DO - 10.1145/3449726.3459583

M3 - Conference contribution

AN - SCOPUS:85111035961

T3 - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

SP - 265

EP - 266

BT - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery

T2 - 2021 Genetic and Evolutionary Computation Conference, GECCO 2021

Y2 - 10 July 2021 through 14 July 2021

ER -

Sambo A, Azad RMA, Kovalchuk Y, Indramohan V, Shah H. Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery. 2021. p. 265-266. (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion). doi: 10.1145/3449726.3459583

Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing

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Keywords

Access to Document

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