Genetic Programming Algorithm with a Fast Logical Search for Analyzing Graph Contagion
Created by W.Langdon from
gp-bibliography.bib Revision:1.8528
- @InProceedings{michalak:2025:GECCOcomp2,
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author = "Krzysztof Michalak",
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title = "Genetic Programming Algorithm with a Fast Logical
Search for Analyzing Graph Contagion",
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booktitle = "Proceedings of the 2025 Genetic and Evolutionary
Computation Conference Companion",
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year = "2025",
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editor = "Aniko Ekart and Nelishia Pillay",
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pages = "643--646",
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address = "Malaga, Spain",
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series = "GECCO '25 Companion",
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month = "14-18 " # jul,
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming,
explainability, interpretability, XAI, contagion
dynamics: Poster",
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isbn13 = "979-8-4007-1464-1",
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URL = "
https://doi.org/10.1145/3712255.3726638",
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DOI = "
doi:10.1145/3712255.3726638",
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size = "4 pages",
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abstract = "This paper proposes a genetic programming approach for
the analysis of contagion spreading on a graph. In the
analyzed problem, graph vertices can get infected from
their neighbours along the edges of the graph. The
genetic programming technique is used in this paper to
build interpretable expressions describing the
spreading of the contagion based on simulation results.
Bi-objective optimization is performed with the goal of
maximizing both the precision and recall of predictions
produced by the optimized expressions. In this paper, a
Logical Search procedure is proposed that efficiently
searches though multiple combinations of expressions
found in each generation of the algorithm. Presented
experimental results show, that the use of the Logical
Search procedure greatly increases the chances of
discovering the actual contagion spreading mechanism.",
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notes = "GECCO-2025 GP A Recombination of the 34th
International Conference on Genetic Algorithms (ICGA)
and the 30th Annual Genetic Programming Conference
(GP)",
- }
Genetic Programming entries for
Krzysztof Michalak
Citations