Title
Solving manufacturing cell design problems by using a bat algorithm approach
Date Issued
01 January 2016
Access level
metadata only access
Resource Type
journal article
Author(s)
Crawford B.
Alarcón A.
Zec C.
Vega E.
Reyes V.
Araya I.
Olguín E.
Publisher(s)
Springer Verlag
Abstract
Manufacturing Cell Design is a problem that consist in distributing machines in cells, in such a way productivity is improved. The idea is that a product, build up by using different parts, has the least amount of travel on its manufacturing process. To solve the MCDP we use the Bat Algorithm, a metaheuristic inspired by a feature of the microbats, the echolocation. This feature allows an automatic exploration and exploitation balance, by controlling the rate of volume and emission pulses during the search. Our approach has been tested by using a well-known set of benchmark instances, reaching optimal values for most of them.
Start page
184
End page
191
Volume
9712 LNCS
Language
English
OCDE Knowledge area
Ciencias de la computación
Scopus EID
2-s2.0-85008318920
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
Sponsor(s)
Ricardo Soto is supported by grant CONICYT/FONDECYT/ REGULAR/1160455, Broderick Crawford is supported by grant CONICYT/ FONDECYT/REGULAR/1140897, Victor Reyes is supported by grant INFPUCV 2015, and Ignacio Araya is supported by grant CONICYT/FONDECYT/ INICIACION/11121366.
Sources of information: Directorio de Producción Científica Scopus