On numerical 2D P colonies modelling the grey wolf optimization algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F21%3AA0000747" target="_blank" >RIV/47813059:19240/21:A0000747 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2227-9717/9/2/330/htm" target="_blank" >https://www.mdpi.com/2227-9717/9/2/330/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/pr9020330" target="_blank" >10.3390/pr9020330</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On numerical 2D P colonies modelling the grey wolf optimization algorithm

Popis výsledku v původním jazyce

The 2D P colonies is a version of the P colonies with a two-dimensional environment designed 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 have been shown to be suitable for the simulations of various (not only) multi-agent systems, and natural phenomena, like flash floods. The Grey wolf algorithm is the optimization-based algorithm inspired by social dynamics found in packs of grey wolves and by their ability to create hierarchies, in which every member has a clearly defined role, dynamically. In our previous papers, we extended the 2D P colony by the universal communication device, the blackboard. The blackboard allows for the agents to share various information, e.g., their position or the information about their surroundings. In this paper, we follow our previous research on the numerical 2D P colony with the blackboard. We present the computer simulator of the numerical 2D P colony with the blackboard and the results of the computer simulation, and we compare these results with the original algorithm.

Název v anglickém jazyce

On numerical 2D P colonies modelling the grey wolf optimization algorithm

Popis výsledku anglicky

The 2D P colonies is a version of the P colonies with a two-dimensional environment designed 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 have been shown to be suitable for the simulations of various (not only) multi-agent systems, and natural phenomena, like flash floods. The Grey wolf algorithm is the optimization-based algorithm inspired by social dynamics found in packs of grey wolves and by their ability to create hierarchies, in which every member has a clearly defined role, dynamically. In our previous papers, we extended the 2D P colony by the universal communication device, the blackboard. The blackboard allows for the agents to share various information, e.g., their position or the information about their surroundings. In this paper, we follow our previous research on the numerical 2D P colony with the blackboard. We present the computer simulator of the numerical 2D P colony with the blackboard and the results of the computer simulation, and we compare these results with the original algorithm.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

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 periodika

Processes

ISSN

2227-9717

e-ISSN

2227-9717

Svazek periodika

9

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

24

Strana od-do

1-24

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85101276969