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Evolutionary computing with genetic algorithm in manufacturing systemsGečevska, Valentina ...The paper proposes introducing biologically oriented ideas in conceiving a new ideas in modern factories. It presents a new optimization methodology based on genetic algorithms (GAs) approach for ... determination of the cutting parameters in machining operation in manufacturing processes. The proposed approach makes it possible to find the optimal value of all the cutting parameters, including the depth of cut, in just one step. The basic theory of GAs together with the implementation in optimal design of machining operations is presented.Source: Machine engineering. - ISSN 1642-6568 (Vol. 5, no 3/4, 2005, str. 188-198)Type of material - article, component partPublish date - 2005Language - englishCOBISS.SI-ID - 10051094
Author
Gečevska, Valentina |
Čuš, Franc, 1953- |
Kuzinovski, Mikolaj |
Župerl, Uroš
Topics
genetski algoritmi |
optimizacija |
proizvodni procesi |
design |
rezalni parametri |
načrtovanje prozivodnje |
genetic algorithm |
optimization |
manufacturing process |
design |
cutting parameters |
process planning
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Gečevska, Valentina | |
Čuš, Franc, 1953- | 08634 |
Kuzinovski, Mikolaj | |
Župerl, Uroš | 20232 |
Source: Personal bibliographies
and: SICRIS
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