Title
Solving manufacturing cell design problems using a shuffled frog leaping 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 (MCDP) is a well-known problem for lines of manufacture where the main goal is to minimize the inter-cell moves. To solve the MCDP we employ the Shuffled Frog Leaping Algorithm (SFLA), which is a metaheuristic inspired on the natural memetic features of frogs. The frog tries to leap all over the search space for a better result until the stopping criteria is met. The obtained results are compared with previous approaches of the algorithm to test the real efficiency of our proposed SFLA. The results show that the proposed algorithm produces optimal solutions for all the 50 studied instances.
Start page
253
End page
261
Volume
407
Language
English
OCDE Knowledge area
Ingeniería arquitectónica
Ingeniería de la construcción
Subjects
Scopus EID
2-s2.0-84952021066
ISBN
9783319266886
Source
Advances in Intelligent Systems and Computing
Resource of which it is part
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
Sources of information:
Directorio de Producción Científica
Scopus