On Numerical 2D P Colonies with the Blackboard and the Gray Wolf Algorithm

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

On Numerical 2D P Colonies with the Blackboard and the Gray Wolf Algorithm

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

On Numerical 2D P Colonies with the Blackboard and the Gray Wolf Algorithm

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

CMC 2020: Membrane Computing: 21st International Conference, CMC 2020, Virtual Event, September 14–18, 2020, Revised Selected Papers

ISBN

9783030771010

ISSN

—

e-ISSN

—

Počet stran výsledku

17

Strana od-do

161-177

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Virtual event

Datum konání akce

14. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—