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https://scidar.kg.ac.rs/handle/123456789/16793
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DC Field | Value | Language |
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dc.contributor.author | Marjanovic, Nenad | - |
dc.contributor.author | Kostic, Nenad | - |
dc.contributor.author | Petrović, Nenad | - |
dc.contributor.author | Blagojevic, Mirko | - |
dc.contributor.author | Matejic, Milos | - |
dc.date.accessioned | 2023-02-23T11:01:27Z | - |
dc.date.available | 2023-02-23T11:01:27Z | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 978-9940-527-53-2 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/16793 | - |
dc.description.abstract | Today, for solving complex engineering problems it is necessary to use optimization methods. Popular methods for finding optimal characteristics are heuristic methods, and the most predominant in use is the genetic algorithm. This paper presents a new modification of the genetic algorithm (iGA) and its testing on complex engineering problems. Results are compared to relevant results from literature for genetic algorithm and other modern optimization methods. The developed modification represents a contribution for practical optimization of engineering problems. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/3.0/us/ | * |
dc.subject | genetic algorithm | en_US |
dc.subject | iGA | en_US |
dc.subject | optimization | en_US |
dc.subject | engineering problems | en_US |
dc.subject | heuristic | en_US |
dc.title | A NEW MODIFICATION OF GENETIC ALGORITHM FOR SOLVING ENGINEERING OPTIMIZATION PROBLEMS | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Published | en_US |
dc.relation.conference | International Conference on Research and Development of Mechanical Elements and Systems – IRMES 2017 | en_US |
dc.type.version | PublishedVersion | en_US |
Appears in Collections: | Faculty of Engineering, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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2017-M33-IRMES-Marjanovic - Rad.pdf | 525.65 kB | Adobe PDF | View/Open |
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