Title :
Study of the application of genetic algorithms in optimization of cutting glass sheets
Author :
Costa, Flavio ; Canto, Nilton Cesar Furtado ; Sassi, Renato José
Author_Institution :
Nove de Julho Univ., São Paulo, Brazil
Abstract :
Evolutionary computing has proven particularly useful in solving complex problems involving combinatorial optimization. These are problems with various parameters or characteristics that need to be combined in the search for optimal solutions. This project consists of the study, development and implementation of solution methods based on evolutionary computation, specifically in genetic algorithms, to optimize the cutting of glass sheets. Due to technical and operational constraints involved in this process, the optimization cutting of glass sheets is a pretty difficult combinatorial optimization problem. The experimental results of evolutionary computation reported in this project confirm the genetic algorithms as an efficient tool in solving problems involving combinatorial optimization.
Keywords :
combinatorial mathematics; cutting; genetic algorithms; glass industry; glass manufacture; combinatorial optimization; evolutionary computing; genetic algorithm; glass sheet cutting; Biological cells; Evolutionary computation; Gallium; Genetic algorithms; Glass; Optimization; Production;
Conference_Titel :
Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4244-8008-1
Electronic_ISBN :
978-1-4244-8009-8
DOI :
10.1109/INDUSCON.2010.5740074