Genetic algorithms : a useful optimization method for manufacturing problems
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- @Article{Ficko:2004:AJME,
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author = "Mirko Ficko and Miha Kovacic and Miran Brezocnik",
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title = "Genetic algorithms : a useful optimization method for
manufacturing problems",
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journal = "Academic Journal of Manufacturing Engineering",
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year = "2004",
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volume = "2",
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number = "1",
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pages = "21--26",
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keywords = "genetic algorithms, genetic programming, optimisation,
facility layout, flexible manufacturing systems",
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ISSN = "1583-7904",
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abstract = "a very useful method for solving g the manufacturing
problems, and optimising the manufacturing process,
i.e. the genetic algorithms (GAs). The well-known basic
knowledge of the conventional GAs is briefly presented.
The second part of the paper discusses an example of
optimisation of the design of the flexible
manufacturing system (FMS) in one row with GAs. First
the reasons for studying the layout of devices in the
FMS are discussed. The GA model, the most suitable way
of coding the solutions into the organisms and the
selected evolutionary and genetic operators are
presented. In the model, the automated guided vehicles
(AGVs) for transport between components of the FMS were
used. In this connection, the most favourable sequence
of devices in the row is established by means of GAs.
In the end the test results of the application made and
the analysis are discussed.",
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notes = "Broken Jan 2013
http://www.eng.utt.ro/auif/rev/issue/no-05/no-05.html
University of Maribor, Faculty for Mechanical
Engineering, Laboratory for Intelligent Manufacturing
Systems",
- }
Genetic Programming entries for
Mirko Ficko
Miha Kovacic
Miran Brezocnik
Citations