Solving the manufacturing cell design problem using the Cuckoo Search

Ricardo Soto, Broderick Crawford, Ana Jaime, Maykol Ramírez, Boris Almonacid, Leandro Vásquez, Roberto Zulantay

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

Abstract

The Manufacturing Cell Design Problem consists in the division of a manufacturing plant into cells, each one of them containing machines processing a group of parts. The goal is to increase the productivity by minimizing the exchange of material between cells. In this paper, we solve this problem by using Cuckoo Search, which is an easy-to-implement and fast-convergence metaheuristic inspired on the interesting reproduction strategy of cuckoo birds. We perform different experiments on a set of 90 well-known problem instances where our approach is able to reach the global optimum for all of them.

Original languageEnglish
Title of host publicationProceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence
Subtitle of host publicationAdvances in Artificial Intelligence, MICAI 2016
EditorsGrigori Sidorov, Oscar Herrera Alcantara, Sabino Miranda Jimenez, Obdulia Pichardo Lagunas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages123-129
Number of pages7
ISBN (Electronic)9781538677353
DOIs
StatePublished - 2016
Externally publishedYes
Event15th Mexican International Conference on Artificial Intelligence, MICAI 2016 - Cancun, Quintana Roo, Mexico
Duration: 23 Oct 201629 Oct 2016

Publication series

NameProceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2016

Conference

Conference15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Country/TerritoryMexico
CityCancun, Quintana Roo
Period23/10/1629/10/16

Keywords

  • Cuckoo Search
  • Manufacturing Cell Design Problem
  • Metaheuristics
  • Optimization

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