A firefly algorithm to solve the manufacturing cell design problem

Ricardo Soto, Broderick Crawford, Jacqueline Lama, Fernando Paredes

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

5 Scopus citations

Abstract

The Manufacturing Cell Design Problem (MCDP) consists in creating an optimal design of production plants, through the creation of cells grouping machines that process parts of a given product. The goal is to reduce costs and increase productivity by minimizing movements and exchange of material between these cells. In this paper, we present a Firefly Algorithm (FA) to tackle this problem. The FA is a recent bio-inspired metaheuristic based on the mating behavior of fireflies that employ its flashing capabilities to communicate with each other or attract potential prey.We incorporate efficient transfer and discretization methods in order to suitable handle the binary domains of the problem. Interesting experimental results are illustrated where several global optimums are reached for a set of 90 well-known MCDP instances.

Original languageEnglish
Title of host publicationArtificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016
EditorsRadek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova
PublisherSpringer Verlag
Pages103-114
Number of pages12
ISBN (Print)9783319336237
DOIs
StatePublished - 2016
Externally publishedYes
Event5th Computer Science On-line Conference, CSOC 2016 - Prague, Czech Republic
Duration: 27 Apr 201630 Apr 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume464
ISSN (Print)2194-5357

Conference

Conference5th Computer Science On-line Conference, CSOC 2016
Country/TerritoryCzech Republic
CityPrague
Period27/04/1630/04/16

Keywords

  • Firefly Algorithm
  • Manufacturing Cell Design
  • Metaheuristics
  • Optimization

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