Authors:
Javier Monzon
1
;
Rony Cueva
1
;
Manuel Tupia
1
and
Mariuxi Bruzza
2
Affiliations:
1
Department of Engineering, Pontificia Universidad Catolica del Peru, Av. Universitaria 1801 San Miguel, Lima and Peru
;
2
Faculty of Tourism and Hospitality, Universidad Laica Eloy Alfaro de Manabi, Manta and Ecuador
Keyword(s):
Cuckoo Search Algorithm, 2D-Cutting Problem, Optimization, Bio-Inspired Algorithms.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Evolutionary Computing
;
Formal Methods
;
Industrial Applications of AI
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Planning and Scheduling
;
Simulation and Modeling
;
Soft Computing
;
Symbolic Systems
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.