Using Genetic Algorithms To Optimize Guillotine Cutting Operations

نویسندگان

  • Alberto Gomez
  • David de la Fuente
  • José Parreño
  • Javier Puente
چکیده

This study presents an application to optimise the use of an Lcut guillotine machine. The application has two distinct parts to it; first, a number of rectangular shapes are placed on as few metal sheets as possible by using Genetic Algorithms. Secondly, the sequence for cutting these pieces has to be generated. The guillotine’s numeric control then uses this sequence to make the cuts.

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تاریخ انتشار 2002