Object

Title: Genetic - fuzzy approach to the boolean satisfiability problem

Subtitle:

Raport Badawczy = Research Report ; RB/57/2001

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

21 pages ; 21 cm ; Bibliography p. 21

Abstract:

This study concerns with the Boolean satisfiability (SAT) prolem and its solution in the setting of a hybrid computational intelligence environment of genetic and fzzy computing. In this tramework, fuzzy sets realize an embedding principle meaning that original two-values (Boolean) fubctions under investigation are extended to their continuous counterparts resulting in the form of fuzzy (multivalued) functions. In the sequel, the satisfiability problem is reformulated for the fuzzy functions and solved using a genetic algorithm (GA). It is shown that a GA, especially its recursive version, is an efficient tool for handling multivariable SAT problems. Thorough experiments revealed that the recursive version of the GA can solve SAT problems with more than 1000 variables.

Relation:

Raport Badawczy = Research Report

Resource Identifier:

oai:rcin.org.pl:129944 ; oai:rcin.org.pl:129944

Source:

RB-2001-57

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

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