Social Impact and Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03146409" target="_blank" >RIV/68407700:21230/08:03146409 - 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
Social Impact and Optimization
Original language description
This paper presents a novel stochastic and population-based binary optimization method inspired by social psychology. It is called Social Impact Theory based Optimization (SITO). The method is developed using some simple modifications of simulations of Latané's Dynamic Social Impact Theory. First, brief summary of some preliminary experiments is described. The results showed that the initial version of SITO performs comparably to the simple Genetic Algorithm and the Binary Particle Swarm Optimization. Furthermore, some interesting properties and aspects of the method are discussed and illustrated, namely the clustering phenomenon known from the dynamic theory of social impact or the introduction of random component into the simulation.
Czech name
Sociální dopad a optimalizace
Czech description
Článek prezentuje novou stochastickou a na populaci založenou metodu pro binární optimalizaci. Nazývá se Social Impact Theory based Optimization (SITO). Metoda je vytvořena s použitím jednoduchých modifikací Lataného Dynamické teorie sociálního dopadu. Výsledky testování ukazují srovnatelnost algoritmu s genetickým algoritmem a s metodou particle swarm optimalizace.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Computational Intelligence Research
ISSN
0973-1873
e-ISSN
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Volume of the periodical
4
Issue of the periodical within the volume
2
Country of publishing house
IN - INDIA
Number of pages
6
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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