Title
Solving the manufacturing cell design problem using the Cuckoo Search
Date Issued
01 January 2016
Access level
metadata only access
Resource Type
conference paper
Author(s)
Pontificia Universidad Católica de Valparaíso
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The Manufacturing Cell Design Problem consists in the division of a manufacturing plant into cells, each one of them containing machines processing a group of parts. The goal is to increase the productivity by minimizing the exchange of material between cells. In this paper, we solve this problem by using Cuckoo Search, which is an easy-to-implement and fast-convergence metaheuristic inspired on the interesting reproduction strategy of cuckoo birds. We perform different experiments on a set of 90 well-known problem instances where our approach is able to reach the global optimum for all of them.
Start page
123
End page
129
Language
English
OCDE Knowledge area
Ingeniería arquitectónica
Ingeniería de la construcción
Subjects
Scopus EID
2-s2.0-85117845934
Resource of which it is part
Proceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2016
ISBN of the container
978-153867735-3
Conference
15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Sponsor(s)
Ricardo Soto is supported by Grant CONICYT / FONDECYT / REGULAR / 1160455. Broderick Crawford is supported by Grant CONICYT / FONDECYT / REGULAR / 1171243. Boris Almonacid is supported by Animal Behavior Society, USA (Developing Nations Research Awards 2016); by Postgraduate Grant Pontificia Universidad Católica de Valparaíso, Chile (VRIEA 2016 and INF-PUCV 2015) and by Ph.D (h.c) Sonia Alvarez, Chile.
Sources of information:
Directorio de Producción Científica
Scopus