Genetic Optimization of Fuzzy Rule Based MAS Using Cognitive Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F12%3A%230004410" target="_blank" >RIV/47813059:19240/12:#0004410 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Genetic Optimization of Fuzzy Rule Based MAS Using Cognitive Analysis
Original language description
The aim of the contribution is to present Cognitive Analysis of fuzzy rule bases used in Genetic optimization of Multiagent system behavior. This Cognitive analysis allows to analyze behaviour caused by rules and sort them to Social, Group or Individualsets of the rules. Rules, which have same behaviour, can be reduced. This allows to decrease of the rules and number of genes in chromosome and also GA Search Space. The Fuzzy Rule Based Evolution System is presented. This system consists of three main parts the FUZNET, the GA-MPI and the Webots. Simple example based on the Box Pushing problem is presented.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SWARM AND EVOLUTIONARY COMPUTATION
ISBN
978-3-642-29352-8
ISSN
0302-9743
e-ISSN
—
Number of pages
9
Pages from-to
165-173
Publisher name
SPRINGER HEIDELBERG
Place of publication
Zakopane, Polsko
Event location
2012
Event date
Jan 1, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—