A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{russell:2023:GECCOcomp,

• author = "Jeffrey Russell and Nelishia Pillay",
• title = "A Selection {Hyper-Heuristic} for Transfer Learning in Genetic Programming",
• booktitle = "Proceedings of the 2023 Genetic and Evolutionary Computation Conference",
• year = "2023",
• editor = "Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen",
• pages = "631--634",
• address = "Lisbon, Portugal",
• series = "GECCO '23",
• month = "15-19 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, symbolic regression, transfer learning: Poster",
• isbn13 = "9798400701191",
• DOI = "doi:10.1145/3583133.3590686",
• size = "4 pages",
• abstract = "Transfer learning has recently gained popularity in the evolutionary algorithms space. Determining a good criteria for how to transfer knowledge can be very challenging. It has been a focus of research to optimize the process of deciding what, when and how to transfer knowledge. Genetic programming is an area of evolutionary algorithms that has benefited greatly from transfer learning. In this paper, a selection hyper-heuristic (SHeTL) has been used to optimize transfer learning, i.e. what to transfer, when to transfer and how to transfer, in genetic programming. The proposed approach has been applied to benchmark and real-world symbolic regression problems. SHeTL produced significant improvements over canonical genetic programming. Furthermore, the hyper-heuristic produced better results than previous transfer learning approaches used in genetic programming.",
• notes = "GECCO-2023 A Recombination of the 32nd International Conference on Genetic Algorithms (ICGA) and the 28th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Jeffrey Russell Nelishia Pillay

Citations