Constant optimization and feature standardization in multiobjective genetic programming

Rockett, P. orcid.org/0000-0002-4636-7727 (2022) Constant optimization and feature standardization in multiobjective genetic programming. Genetic Programming and Evolvable Machines, 23 (1). pp. 37-69. ISSN 1389-2576

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Item Type: Article
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© 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Multiobjective genetic programming; Constant optimization; Feature standardization; Bayesian testing
Dates:
  • Published: March 2022
  • Published (online): 19 August 2021
  • Accepted: 22 July 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Aug 2021 09:36
Last Modified: 23 Jun 2022 09:15
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: 10.1007/s10710-021-09410-y
Open Archives Initiative ID (OAI ID):

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