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Social Impact Theory based Optimizer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132428" target="_blank" >RIV/68407700:21230/07:03132428 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Social Impact Theory based Optimizer

  • Original language description

    This paper introduces a novel stochastic and population based binary optimization method inspired by social psychology. It is called Social Impact Theory based Optimization (SITO). The method has been developed with the use of some simple modications ofsimulations of Latane's Dynamic Social Impact Theory. The usability of the algorithm is demonstrated via experimental testing on some test problems. The results showed that the initial version of SITO performs comparably to the simple Genetic Algorithm (GA) and the binary Particle Swarm Optimization (bPSO).

  • Czech name

    Optimalizátor založený na teorii sociálního vlivu

  • Czech description

    Článek popisuje novou stochastickou a na populaci založenou metaheuristiku inspirovanou sociální psychologií. Metoda je nazvána Social Impact Theory based Optimizer. Metoda byla vyvinuta s použitím modifikace Lataného dynamické teorie sociálního vlivu. Funkčnost metody je demonstrována experimenty s použitím jednoduchých testovacích funkcí. Výsledky ukazují srovnatelnou výkonost nového algoritmu v porovnání s genetickými algoritmy a binární PSO metodou.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • 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 Artificial Life

  • ISBN

    978-3-540-74912-7

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    635-644

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Lisbon

  • Event date

    Sep 10, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article