Solving manufacturing cell design problems by using a dolphin echolocation algorithm

Ricardo Soto, Broderick Crawford, César Carrasco, Boris Almonacid, Victor Reyes, Ignacio Araya, Sanjay Misra, Eduardo Olguín

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings
EditorsSanjay Misra, Osvaldo Gervasi, Carmelo M. Torre, David Taniar, Elena Stankova, Ana Maria A.C. Rocha, Shangguang Wang, Beniamino Murgante, Bernady O. Apduhan
PublisherSpringer Verlag
Pages77-86
Number of pages10
ISBN (Print)9783319420912
DOIs
StatePublished - 2016
Externally publishedYes
Event16th International Conference on Computational Science and Its Applications, ICCSA 2016 - Beijing, China
Duration: 4 Jul 20167 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9790
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Computational Science and Its Applications, ICCSA 2016
Country/TerritoryChina
CityBeijing
Period4/07/167/07/16

Keywords

  • Dolphin Echolocation Algorithm
  • Manufacturing cell design problems
  • Metaheuristics

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