Genetic algorithms : a useful optimization method for manufacturing problems

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@Article{Ficko:2004:AJME,

• author = "Mirko Ficko and Miha Kovacic and Miran Brezocnik",
• title = "Genetic algorithms : a useful optimization method for manufacturing problems",
• journal = "Academic Journal of Manufacturing Engineering",
• year = "2004",
• volume = "2",
• number = "1",
• pages = "21--26",
• keywords = "genetic algorithms, genetic programming, optimisation, facility layout, flexible manufacturing systems",
• ISSN = "1583-7904",
• 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.",
• 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