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A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation

Dissertation (MSc (Computer Science))--University of Pretoria, 2024.

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Other Authors: Pillay, Nelishia
Format: Thesis
Language:English
Published: University of Pretoria 2025
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access_status_str Open Access
author2 Pillay, Nelishia
author_browse Pillay, Nelishia
author_facet Pillay, Nelishia
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Computer Science))--University of Pretoria, 2024.
format Thesis
id oai:repository.up.ac.za:2263/100614
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:37.863Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/100614 A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation Pillay, Nelishia u16006250@tuks.co.za Scheepers, Darius UCTD Transfer learning in generation constructive hyper-heuristics Generation constructive hyper-heuristic Genetic programming Structure-based genetic programming Dissertation (MSc (Computer Science))--University of Pretoria, 2024. Genetic programming and variants of genetic programming such as grammar-based genetic program ming have predominately been used in generation construction hyper-heuristics (GC-HH). Previous work has also shown the effectiveness of transfer learning in genetic programming generation hyper heuristics. Structure-based genetic programming (SBGP) uses both the fitness of an individual and its structure to direct the search in a search space. This study investigates the use of a structure-based genetic programming hyper-heuristic (SBGP-HH) in generation construction hyper-heuristics. The use of SBGP-HH with transfer learning (SBGP-HH-TL) is also investigated. The proposed approaches were evaluated on the examination timetabling, one dimensional bin-packing and capacitated vehicle routing problems. SBGP-HH was found to outperform the canonical genetic programming hyper-heuristic (CGP-HH) for the selected problem domains. SBGP-HH-TL produced better results than SBGP-HH with statistical significance on most problem instances. These results were found to be statistically significant at the 90% level of confidence. SBGP-HH-TL was found to outperform CGP-HH with transfer learning (CGP-HH-TL) for the selected problem domains. Computer Science MSc (Computer Science) Unrestricted Faculty of Engineering, Built Environment and Information Technology None 2025-02-07T09:52:12Z 2025-02-07T09:52:12Z 2025-05 2024-12 Dissertation * A2025 http://hdl.handle.net/2263/100614 - en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Transfer learning in generation constructive hyper-heuristics
Generation constructive hyper-heuristic
Genetic programming
Structure-based genetic programming
A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation
title A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation
title_full A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation
title_fullStr A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation
title_full_unstemmed A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation
title_short A structured-based genetic programming generation construction hyper-heuristic with transfer learning for combinatorial optimisation
title_sort structured based genetic programming generation construction hyper heuristic with transfer learning for combinatorial optimisation
topic UCTD
Transfer learning in generation constructive hyper-heuristics
Generation constructive hyper-heuristic
Genetic programming
Structure-based genetic programming
url http://hdl.handle.net/2263/100614