GOMEZ, Alberto ;DE LA FUENTE, David ;PUENTE, Javier ;PARREÑO, José .
The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms.
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 51, n.5, p. 234-239, august 2017.
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/the-resolution-of-packing-problems-using-simulated-annealing-and-genetic-algorithms/>. Date accessed: 12 feb. 2026.
doi:http://dx.doi.org/.
Gomez, A., de la Fuente, D., Puente, J., & Parreño, J.
(2005).
The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms.
Strojniški vestnik - Journal of Mechanical Engineering, 51(5), 234-239.
doi:http://dx.doi.org/
@article{.,
author = {Alberto Gomez and David de la Fuente and Javier Puente and José Parreño},
title = {The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {51},
number = {5},
year = {2005},
keywords = {genetic algorithms; packing; cutting processes; process optimization; },
abstract = {The aim of this paper is to present two algorithms that are designed to optimise the cutting process of an L-type guillotine and to minimise the number of sheets used to manufacture a number of rectangular pieces. Two algorithms are proposed, one based on genetic algorithms and the other on simulated annealing. They are compared with the help of a bank of examples. Both algorithms provide very good results, although each of them has its peculiarities, which are described in this paper.},
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url = {https://www.sv-jme.eu/sl/article/the-resolution-of-packing-problems-using-simulated-annealing-and-genetic-algorithms/}
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Gomez, A.,de la Fuente, D.,Puente, J.,Parreño, J.
2005 August 51. The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 51:5
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Gomez, Alberto, David de la Fuente, Javier Puente, & José Parreño.
"The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms." Strojniški vestnik - Journal of Mechanical Engineering [Online], 51.5 (2005): 234-239. Web. 12 Feb. 2026
TY - JOUR
AU - Gomez, Alberto
AU - de la Fuente, David
AU - Puente, Javier
AU - Parreño, José
PY - 2005
TI - The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms
JF - Strojniški vestnik - Journal of Mechanical Engineering
DO -
KW - genetic algorithms; packing; cutting processes; process optimization;
N2 - The aim of this paper is to present two algorithms that are designed to optimise the cutting process of an L-type guillotine and to minimise the number of sheets used to manufacture a number of rectangular pieces. Two algorithms are proposed, one based on genetic algorithms and the other on simulated annealing. They are compared with the help of a bank of examples. Both algorithms provide very good results, although each of them has its peculiarities, which are described in this paper.
UR - https://www.sv-jme.eu/sl/article/the-resolution-of-packing-problems-using-simulated-annealing-and-genetic-algorithms/
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author = {Gomez, A., de la Fuente, D., Puente, J., Parreño, J.},
title = {The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {51},
number = {5},
year = {2005},
doi = {},
url = {https://www.sv-jme.eu/sl/article/the-resolution-of-packing-problems-using-simulated-annealing-and-genetic-algorithms/}
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TY - JOUR
AU - Gomez, Alberto
AU - de la Fuente, David
AU - Puente, Javier
AU - Parreño, José
PY - 2017/08/18
TI - The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms
JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 51, No 5 (2005): Strojniški vestnik - Journal of Mechanical Engineering
DO -
KW - genetic algorithms, packing, cutting processes, process optimization,
N2 - The aim of this paper is to present two algorithms that are designed to optimise the cutting process of an L-type guillotine and to minimise the number of sheets used to manufacture a number of rectangular pieces. Two algorithms are proposed, one based on genetic algorithms and the other on simulated annealing. They are compared with the help of a bank of examples. Both algorithms provide very good results, although each of them has its peculiarities, which are described in this paper.
UR - https://www.sv-jme.eu/sl/article/the-resolution-of-packing-problems-using-simulated-annealing-and-genetic-algorithms/
Gomez, Alberto, de la Fuente, David, Puente, Javier, AND Parreño, José.
"The Resolution of Packing Problems Using Simulated Annealing and Genetic Algorithms" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 51 Number 5 (18 August 2017)
