Abstract
2D glass cutting is an important problem for glass manufacturers. The objective of 2D glass cutting is to minimize the amount of waste when cutting a whole glass sheet into several pieces according to given cutting orders. In this paper, three different algorithms applied for the solution of 2D glass cutting problem. The performances of solutions are compared. The genetic algorithm with initial population strategy improves the performance of the algorithm and provides better results.
Keywords
Genetic algorithm
Computer science
Glass industry
Flat glass
Population
Algorithm
Mathematical optimization
Materials science
Composite material
Mathematics
Engineering
Process engineering
Machine learning
Subject Areas
Optimization and Packing Problems
·Industrial and Manufacturing Engineering ·Physical Sciences
Advanced Manufacturing and Logistics Optimization
·Industrial and Manufacturing Engineering ·Physical Sciences
Computational Geometry and Mesh Generation
·Computer Graphics and Computer-Aided Design ·Physical Sciences
Loading…