Study of the application of genetic algorithms in optimization of cutting glass sheets

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.