A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic Metabolism

Created by W.Langdon from gp-bibliography.bib Revision:1.8612

@InProceedings{lira:2025:GECCOcomp,

• author = "Hernan Lira and Luis Marti and Nayat Sanchez-Pi",
• title = "A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic Metabolism",
• booktitle = "Symbolic Regression",
• year = "2025",
• editor = "Gabriel Kronberger and Fabricio {Olivetti de Franca} William {La Cava} and Steven Gustafson",
• pages = "2539--2547",
• address = "Malaga, Spain",
• series = "GECCO '25 Companion",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, symbolic regression, metabolic functions, metabolic pathways",
• isbn13 = "979-8-4007-1464-1",
• URL = "https://doi.org/10.1145/3712255.3734346",
• DOI = "10.1145/3712255.3734346",
• size = "9 pages",
• abstract = "We introduce Hierarchical Multi-view Symbolic Regression (H-MvSR), a novel evolutionary framework that discovers closed-form expressions linking environmental drivers to functional gene abundances across multiple ocean layers. Our method models each depth layer as a separate view while enforcing hierarchical constraints that promote both global structural consistency and local biological specificity. The symbolic models are evolved under multi-objective criteria that balance predictive accuracy, expression simplicity, and cross-view coherence. Furthermore, the framework incorporates pathway-level biological priors, enabling grouped symbolic modeling of molecular functions participating in the same metabolic process. We evaluate H-MvSR using depth-resolved genomic and environmental data from global ocean expeditions and compare its performance against state-of-the-art SR systems. Results show that H-MvSR improves interpretability and multiview consistency while recovering biologically meaningful relationships.",
• notes = "GECCO-2025 SymReg workshop A Recombination of the 34th International Conference on Genetic Algorithms (ICGA) and the 30th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Hernan Lira Luis Marti Nayat Sanchez-Pi

Citations