On Line Expert Systems In the Tasks of GA-Poperties Improving
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86081225" target="_blank" >RIV/61989100:27240/10:86081225 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On Line Expert Systems In the Tasks of GA-Poperties Improving
Original language description
The paper is oriented to the area of mathematical optimisation methods known as genetic algorithms (GA). It deals with the well known GA's problems, which are degeneration (causing that GA gets stuck in a local extreme of fitness-function and is unable to continue with the optimum search) and frequently a long computational time which is needed for finding solution. To decrease the GA degeneration probability and to reduce the GA computational time the fuzzy-logic based expert systems are used in the tasks of dynamic control of life periods of chromosomes and fitness-function computational time restriction. To proof the efficiency both of the developed methods some numerical experiments are performed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Mechatronics 2009 : international symposium : AiM' 09
ISBN
978-80-7231-714-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
38-47
Publisher name
Univerzita Obrany
Place of publication
Brno
Event location
Brno
Event date
Dec 1, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000289402700006