LANGER, Miroslav and Daniel VALENTA. On evolving environment of 2D P colonies: ant colony simulation. Journal of Membrane Computing. Singapore: Springer Singapore, 2023, vol. 5, No 3, p. 117-128. ISSN 2523-8906. Available from: https://dx.doi.org/10.1007/s41965-023-00123-y.
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Original name On evolving environment of 2D P colonies: ant colony simulation
Authors LANGER, Miroslav and Daniel VALENTA.
Edition Journal of Membrane Computing, Singapore, Springer Singapore, 2023, 2523-8906.
Other information
Original language English
Type of outcome Article in a journal
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
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Organization Filozoficko-přírodovědecká fakulta – Slezská univerzita v Opavě – Repository
Doi http://dx.doi.org/10.1007/s41965-023-00123-y
UT WoS 001020200200001
Keywords in English 2D P colony; Ant colony simulation; Bio-inspired computation; Evolving environment; Optimization; P systems
Changed by Changed by: Bc. Ivana Glabazňová, učo 2368. Changed: 20/10/2023 04:05.
Abstract
P 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 observing 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 flash floods, 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.
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