Genetic Algorithms as a Tool of Production Process Control.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F14%3A43872302" target="_blank" >RIV/70883521:28120/14:43872302 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Genetic Algorithms as a Tool of Production Process Control.

Original language description

The following article deals with up-to-date field of optimization and genetic algorithms use in the production process control. Theory of optimization is mentioned in the first part of this paper. The second part of this article is dedicated to genetic algorithms. Genetic algorithms are characterized by their robustness ? the ability to solve difficult optimization or the tasks in which we need to decide on something.The third part of the paper focuses on practical demonstrations of two examples. The first example is on determining the optimal production. The second example is on application of genetic algorithms in process planning. Matlab and Evolver software tools were used for the data compution. Data preparation for Evolver was done in MS Excel. But the model building is only one step in knowledge discovery. The best model is often found after building models of several different types, or by trying different technologies or algorithms.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AE - Management, administration and clerical work

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Systems Integration

ISSN

1804-2724

e-ISSN

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Volume of the periodical

5

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

"57?66"

UT code for WoS article

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EID of the result in the Scopus database

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