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dc.contributor.authorLanger, Miroslav
dc.contributor.authorValenta, Daniel
dc.date.accessioned2024-02-19T07:43:13Z
dc.date.available2024-02-19T07:43:13Z
dc.date.issued2023
dc.identifier.citationJournal of Membrane Computing. 2023, vol. 5, issue 3, p. 117-128.cs
dc.identifier.issn2523-8906
dc.identifier.issn2523-8914
dc.identifier.urihttp://hdl.handle.net/10084/152201
dc.description.abstractP colonies are very simple membrane systems originally derived from the P systems. The 2D P colonies, as a version of P colonies with a two-dimensional environment, were introduced as a theoretical model of the multi-agent system for observ ing the behavior of a community of very simple agents living in a shared environment. Each agent is equipped with a set of programs consisting of a small number of simple rules. These programs allow the agent to act and move in the environment. Although, the 2D P colonies proved to be suitable for the simulations of various (not only) multi-agent systems, and natural phenomena, like the fash foods, there are phenomena which they are not able to simulate without some additional features or characteristics. One of the ways the agents can share the information is to use the stigmergy, which means to leave some special symbols in the environment. In this paper, we follow our previous research on the 2D P colony. We present a model of the 2D P colony with evolving environment, which allows us to simulate phenomena like the stigmergy, hence to simulate an ant colony.cs
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofseriesJournal of Membrane Computingcs
dc.relation.urihttps://doi.org/10.1007/s41965-023-00123-ycs
dc.rightsCopyright © 2023, The Author(s)cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectant colony simulationcs
dc.subject2D P colonycs
dc.subjectP systemscs
dc.subjectevolving environmentcs
dc.subjectoptimizationcs
dc.subjectbio-inspired computationcs
dc.titleOn evolving environment of 2D P colonies: ant colony simulationcs
dc.typearticlecs
dc.identifier.doi10.1007/s41965-023-00123-y
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume5cs
dc.description.issue3cs
dc.description.lastpage128cs
dc.description.firstpage117cs
dc.identifier.wos001020200200001


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Copyright © 2023, The Author(s)
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