Analiza systemowa w finansach i zarządzaniu * Wybrane problemy * Impact of initialization methods of start population on convergence of evolutionary strategies

Słomka, Marcin

Analiza systemowa w finansach i zarządzaniu * Wybrane problemy * Impact of initialization methods of start population on convergence of evolutionary strategies

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Title: Analiza systemowa w finansach i zarządzaniu * Wybrane problemy * Impact of initialization methods of start population on convergence of evolutionary strategies

Abstract:

Considering basic methods of generating pseudo random numbers I'm going to focus on linear congruential generators and low discrepancy sequences in order to analyse its application in problem of creating a start population of evolutionary strategies (ES). The main goal of this article is to analyse the impact of initial phase of evolutionary strategies on speed of convergence of optimization process.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:206681

Source:

KS-2000-05-T2P17

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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Open

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Last modified:

Oct 15, 2021

In our library since:

Aug 25, 2021

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All available object's versions:

https://rcin.org.pl./publication/243542

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Edition name	Date
KS-2000-05-T2P17 : Słomka Marcin : Analiza systemowa w finansach i zarządzaniu * Wybrane problemy * Impact of initialization methods of start population on convergence of evolutionary strategies	Oct 15, 2021