A grammatical evolution approach to the automatic inference of P systems

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@Article{Nadizar:2023:JMC,

• author = "Giorgia Nadizar and Gloria Pietropolli",
• title = "A grammatical evolution approach to the automatic inference of {P} systems",
• journal = "Journal of Membrane Computing",
• year = "2023",
• volume = "5",
• pages = "129--143",
• keywords = "genetic algorithms, genetic programming, Grammatical evolution, P system, Membrane computing, Evolutionary algorithms",
• ISSN = "2523-8906",
• URL = "https://rdcu.be/dNuWw",
• DOI = "doi:10.1007/s41965-023-00125-w",
• size = "15 pages",
• abstract = "We consider a setting where observations of successive configurations of a P system are available, and we rely on GE for automatically inferring the P system, i.e., its ruleset. Such approach directly addresses the identification problem, but it can also be employed for automated design, requiring the designer to simply express the configurations of the P system rather than its full ruleset. We assess the practicability of the proposed method on six problems of various difficulties and evaluate its behavior in terms of inference capability and time consumption. Experimental results confirm our approach is a viable strategy for small problem sizes, where it achieves perfect inference in a few seconds without any human intervention. Moreover, we also obtain promising results for larger problem sizes in a human-aided context, paving the way for fully or partially automated design of P systems.",

}

Genetic Programming entries for Giorgia Nadizar Gloria Pietropolli

Citations