A cuckoo search algorithm for 2d-cutting problem in decorative ceramic production lines with defects

Javier Monzon, Rony Cueva, Manuel Tupia, Mariuxi Bruzza

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The residues generated from ceramic cuttings are one of the major causes of waste in the ceramic production industry, with losses being around 40% of the used material. Hence, reducing residues from materials used is critical for lowering the production cost. It is worth mentioning that in this industry the material also shows high rates of defects, a constraint which most researches dealing with the 2D-cutting problem lack. This paper develops a bio-inspired metaheuristic called Cuckoo Search to solve the problem of exposed material cutting as an alternative solution to the genetic algorithm already developed by the authors, which will also be used to measure the Cuckoo Search algorithm performance.

Idioma originalInglés
Título de la publicación alojadaICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
EditoresAna Rocha, Luc Steels, Jaap van den Herik
EditorialSciTePress
Páginas547-553
Número de páginas7
ISBN (versión digital)9789897583506
DOI
EstadoPublicada - 2019
Evento11th International Conference on Agents and Artificial Intelligence, ICAART 2019 - Prague, República Checa
Duración: 19 feb. 201921 feb. 2019

Serie de la publicación

NombreICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
Volumen2

Conferencia

Conferencia11th International Conference on Agents and Artificial Intelligence, ICAART 2019
País/TerritorioRepública Checa
CiudadPrague
Período19/02/1921/02/19

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