Title
Resolving the manufacturing cell design problem using the flower pollination algorithm
Date Issued
01 January 2016
Access level
metadata only access
Resource Type
conference paper
Author(s)
Pontificia Universidad Católica de Valparaíso
Publisher(s)
Springer Verlag
Abstract
The Manufacturing cell design problem focuses on the creation of an optimal distribution of the machinery on a productive plant, through the creation of highly independent cells where the parts of certain products are processed. The main objective is to reduce the movements between this cells, decreasing production times, costs and getting other advantages. To find solutions to this problem, in this paper, the usage of the Flower Pollination Algorithm is proposed, which is one of the many nature-based algorithms, which in this case is inspired in the Pollination of the flowers, and has shown great capacities in the resolution of complex problems. Experimental results are shown, with 90 instances taken from Boctor’s experiments, where the optimum is achieved in all them.
Start page
184
End page
195
Volume
10053 LNAI
Language
English
OCDE Knowledge area
Ciencias de la computación
Ingeniería industrial
Subjects
Scopus EID
2-s2.0-85007170251
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
ISBN of the container
9783319493961
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sponsor(s)
Ricardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1160455, Broderick Crawford is supported by Grant CONICYT/FONDECYT/REGULAR/1140897, Rodrigo Olivares is supported by Postgraduate Grant Pontificia Universidad Católica de Valparaíso, Chile (INF-PUCV 2015), and Boris Almonacid is supported by Postgraduate Grant Pontificia Universidad Católica de Valparaíso, Chile (VRIEA-PUCV 2016 and INF-PUCV 2015), by Animal Behavior Society, USA (Developing Nations Research Awards 2016) and by Ph.D (h.c) Sonia Alvarez, Chile.
Sources of information:
Directorio de Producción Científica
Scopus