On Numerical 2D P Colonies with the Blackboard and the Gray Wolf Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F21%3AA0000840" target="_blank" >RIV/47813059:19240/21:A0000840 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-77102-7_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-77102-7_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-77102-7_10" target="_blank" >10.1007/978-3-030-77102-7_10</a>
Alternative languages
Result language
angličtina
Original language name
On Numerical 2D P Colonies with the Blackboard and the Gray Wolf Algorithm
Original language description
The 2D P colonies were introduced as a theoretical model of the multi-agent system for observing the behavior of the community of very simple agents living in the 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. The 2D P colonies showed to be suitable for the simulations of various (not only) multi-agent systems, and natural phenomena, like the flash floods. The gray wolf algorithm is the optimization-based algorithm inspired by social dynamics found in packs of gray wolves and by their ability to create hierarchies, in which every member has a clearly defined role, dynamically. The wolves’ primary goal is to find and hunt down prey, which in our case equals finding the optimal solution to the given problem. The gray wolf algorithm displays positive results thanks to the principles of randomness and communication between wolves. In this paper, we follow our previous research on the numerical 2D P colony with the blackboard. We present the results of the computer simulation of numerical 2D P colonies and we compare these results with original gray wolf algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CMC 2020: Membrane Computing: 21st International Conference, CMC 2020, Virtual Event, September 14–18, 2020, Revised Selected Papers
ISBN
9783030771010
ISSN
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e-ISSN
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Number of pages
17
Pages from-to
161-177
Publisher name
Springer
Place of publication
Cham
Event location
Virtual event
Event date
Sep 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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