Subtitle:

Książka = Book ; KS/3/2012/T1P[13]

Publisher:

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

Place of publishing:

Warszawa

Description:

[6], 167-178 pages ; 21 cm ; Bibliography p. 177-178

Type of object:

Book/Chapter

Abstract:

Using the apparatus of Generalized nets a generalized netmodel of a genetic algorithm with intuitionistic fuzzy selection operator is developed. Selection operator is one of the basic genetic algorithm operators. It gives a direction to evolution, conserves successful states, but at the same time it reduces the diversity of the population. The proposed intuitionistic fuzzy operator aims to prevent some demerits of the genetic algorithms performance. It is known that “the best” chromosome does not always keep on improving in each generation. In the presented generalized net model intuitionistic fuzzy selection operator decreases the possibility for chromosome aggravation giving the chance the best solution from the current generation will be superior to or at least the same as the past.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198684

Source:

KS-2012-03-T1P[13]

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.

Access:

Open