Solving manufacturing cell design problems using an artificial fish swarm algorithm

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

11 Scopus citations

Abstract

The design of manufacturing cells is a manufacturing strategy that involves the creation of an optimal design of production plants, whose main objective is to minimize movements and exchange of material between these cells. Optimal solution of large scale manufacturing cell design problems (MCDPs) are often computationally unfeasible and only heuristic and approximate methods are able to handle such problems. Artificial fish swarm algorithm (AFSA) belongs to the swarm intelligence algorithms, which based on population search, are able to solve complex optimization problems. In this paper we present an AFSA-based approach to solve the MCDP by using the classic Boctor’s mathematical model. The obtained results show that the proposed algorithm produces optimal solutions for all the 50 studied instances.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence and Soft Computing - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Proceedings
EditorsGrigori Sidorov, SofÍa N. Galicia-Haro
PublisherSpringer Verlag
Pages282-290
Number of pages9
ISBN (Print)9783319270593
DOIs
StatePublished - 1 Jan 2015
Event14th Mexican International Conference on Artificial Intelligence, MICAI 2015 - Cuernavaca, Morelos, Mexico
Duration: 25 Oct 201531 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9413
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Mexican International Conference on Artificial Intelligence, MICAI 2015
CountryMexico
CityCuernavaca, Morelos
Period25/10/1531/10/15

Keywords

  • Artificial fish swarm algorithm
  • Manufacturing cell design problem
  • Metaheuristic

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