Title
Solving manufacturing cell design problems by using a dolphin echolocation algorithm
Date Issued
01 January 2016
Access level
metadata only access
Resource Type
conference paper
Author(s)
Crawford B.
Carrasco C.
Almonacid B.
Reyes V.
Araya I.
Misra S.
Olguín E.
Publisher(s)
Springer Verlag
Abstract
The Manufacturing Cell Design is a problem that consist in organize machines in cells to increase productivity, i.e., minimize the movement of parts for a given product between machines. In order to solve this problem we use a Dolphin Echolocation algorithm, a recent bio-inspired metaheuristic based on a dolphin feature, the echolocation. This feature is used by the dolphin to search all around the search space for a target, then the dolphin exploits the surround area in order to find promising solutions. Our approach has been tested by using a set of 10 benchmark instances with several configurations, reaching to optimal values for all of them.
Start page
77
End page
86
Volume
9790
Language
English
OCDE Knowledge area
Ingeniería industrial
Scopus EID
2-s2.0-84978200196
Source
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
978-331942091-2
Conference
16th International Conference on Computational Science and Its Applications, ICCSA 2016
Sources of information: Directorio de Producción Científica Scopus