A hybrid genetic algorithm for packing in 3D with deepest bottom left with fill method
K Karabulut, MM İnceoğlu - International Conference on Advances in …, 2004 - Springer
International Conference on Advances in Information Systems, 2004•Springer
Three dimensional bin packing problems arise in industrial applications like container ship
loading, pallet loading, plane cargo management and warehouse management, etc. In this
paper, a hybrid genetic algorithm (GA) is used for regular 3D strip packing. The Genetic
Algorithm is hybridized with the presented Deepest Bottom Left with Fill (DBLF) method.
Several heuristic methods have also been used for comparison with the hybrid GA.
loading, pallet loading, plane cargo management and warehouse management, etc. In this
paper, a hybrid genetic algorithm (GA) is used for regular 3D strip packing. The Genetic
Algorithm is hybridized with the presented Deepest Bottom Left with Fill (DBLF) method.
Several heuristic methods have also been used for comparison with the hybrid GA.
Abstract
Three dimensional bin packing problems arise in industrial applications like container ship loading, pallet loading, plane cargo management and warehouse management, etc. In this paper, a hybrid genetic algorithm (GA) is used for regular 3D strip packing. The Genetic Algorithm is hybridized with the presented Deepest Bottom Left with Fill (DBLF) method. Several heuristic methods have also been used for comparison with the hybrid GA.
Springer
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