Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification

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

@InProceedings{zhang:2024:GECCOcomp5,

• author = "Tuo Zhang and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang",
• title = "Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification",
• booktitle = "Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion",
• year = "2024",
• editor = "Ting Hu and Aniko Ekart",
• pages = "555--558",
• address = "Melbourne, Australia",
• series = "GECCO '24",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, multi-objective optimization, feature learning, image classification, evolutionary computation: Poster",
• isbn13 = "979-8-4007-0495-6",
• DOI = "doi:10.1145/3638530.3654306",
• size = "4 pages",
• abstract = "Image classification is challenging due to the high dimensionality and large variations of the image data. As an effective method in image classification, feature learning can be considered a multiobjective problem of maximizing the classification accuracy and minimizing the number of learned features. Existing multi-objective genetic programming (MOGP) methods directly apply the multiobjective techniques to GP without considering the characteristics of feature learning tasks. Therefore, this paper proposes a decomposition-based MOGP approach with a global replacement strategy to feature learning in image classification. The proposed approach is compared with existing MOGP methods and the experimental results demonstrate the effectiveness of the proposed approach.",
• notes = "GECCO-2024 GP A Recombination of the 33rd International Conference on Genetic Algorithms (ICGA) and the 29th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Tuo Zhang Ying Bi Jing Liang Bing Xue Mengjie Zhang

Citations