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

Javier Monzon, Rony Cueva, Manuel Tupia, Mariuxi Bruzza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
EditorsAna Rocha, Luc Steels, Jaap van den Herik
PublisherSciTePress
Pages547-553
Number of pages7
ISBN (Electronic)9789897583506
DOIs
StatePublished - 2019
Event11th International Conference on Agents and Artificial Intelligence, ICAART 2019 - Prague, Czech Republic
Duration: 19 Feb 201921 Feb 2019

Publication series

NameICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
Volume2

Conference

Conference11th International Conference on Agents and Artificial Intelligence, ICAART 2019
Country/TerritoryCzech Republic
CityPrague
Period19/02/1921/02/19

Keywords

  • 2D-Cutting Problem
  • Bio-Inspired Algorithms
  • Cuckoo Search Algorithm
  • Optimization

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