Project details for Social Impact theory based Optimizer library

Logo Social Impact theory based Optimizer library 1.1

by rishem - July 29, 2016, 13:19:47 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Over the last decades, a lot of research has been carried out to bring forward many nature-inspired, optimization techniques. The behaviour pattern of natural phenomena such as evolution of species, working of neural networks etc. has been effectively simulated to perform various computing tasks. SitoLIB is an open source library for human opinion formation based optimizer. It includes social impact theory based optimizer (SITO) and Durkheim's theory of social integration based optimizer(CODO). The goal is to develop an easy to understand, general-purpose software library which can be incorporated in application-specific systems. The present version of library includes the binary version and continuous(real-valued) version of the optimizer. Our binary implementation is based on theory of social impact given by [Latane, 1981] and pseudo code of the optimizer given by [Macas, 2008]. The continuous implementation referred as Continuous Opinion Dynamics Optimizer (CODO) is based on Durkheim's theory of social integration[Durkheim,1997] and pseudo code of the optimizer given by [Rishemjit, 2013]. So far, one variant of CODO and three different variants of SITO are implemented in the library for minimization of objection function which includes • OSITO (original SITO algorithm), • SSITOsum (Simplified SITO with SUM rule), SSITOmean Simplified SITO with MEAN rule) and • GSITO (Galam-inspired SITO).

These variants have been effectively brought into use in different applications such as feature subset selection using UCI machine learning repository datasets [Macas, 2007], itongue optimization [Bhondekar, 2011], and enhancing e-nose performance [R. Kaur, 2012]. CODO has been used for optimization of complex mathematical functions[R. Kaur, 2013] The source code is available from the website It can be compiled on Microsoft Windows. The usage(Sito Library.pdf) and example usage script(sitodriver.m) is included in the rar file.

Changes to previous version:

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BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Windows
Data Formats: Matlab
Tags: Feature Selection, Dimensionality Reduction, Machine Learning, Optimization, Algorithm, Evolutionary Optimization, Human Opinion Formation Based Optimizer, Social Impact Theory
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Version Changelog Date

bug removed

July 29, 2016, 13:19:47

download and project home link changed

March 24, 2014, 08:29:00

minor changes

May 7, 2013, 08:03:06

minor changes

April 23, 2013, 09:36:05


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