Artificial Weed Colonies with Neighbourhood Crowding Scheme for Multimodal Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084578" target="_blank" >RIV/61989100:27240/12:86084578 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-81-322-0487-9_74" target="_blank" >http://dx.doi.org/10.1007/978-81-322-0487-9_74</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-81-322-0487-9_74" target="_blank" >10.1007/978-81-322-0487-9_74</a>
Alternative languages
Result language
angličtina
Original language name
Artificial Weed Colonies with Neighbourhood Crowding Scheme for Multimodal Optimization
Original language description
Multimodal optimization is used to find multiple global & local optima which is very useful in many real world optimization problems. But often evolutionary algorithms fail to locate multiple optima as required by the system. Also they fail to store those optima by themselves. So we have to use other selection scheme that can detect & store multiple optima along with evolutionary algorithms. Hence we use niching which is a very powerful tool in detecting & storing multiple optima. Niching methods were introduced to EAs to allow maintenance of a population of diverse individuals so that multiple optima within a single population can be located.Crowding which is a very primitive branch of niching is used here as the selection scheme with Invasive Weed Optimization (IWO) which is a ecologically inspired algorithms depicting behaviors of plants. For multimodal optimization the total search space is divided into several niches in which separately IWO is applied to find the optima in niches.
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
Advances in Intelligent and Soft Computing. Volume 130
ISBN
978-81-322-0486-2
ISSN
1867-5662
e-ISSN
—
Number of pages
9
Pages from-to
779-787
Publisher name
Springer India
Place of publication
Delhi
Event location
Roorkee
Event date
Dec 20, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—