Un Eficiente Intercambio De Líder En El Algoritmo Optimización De Migración de Aves en resolver el problema de Formación de Celdas Máquina-Parte

Translated title of the contribution: Efficient leader exchange for Migrating Birds Optimization when solving machine-part cell formation problems

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

3 Scopus citations

Abstract

The machine-part cell formation (MPCF) problem is to organize an assembly as a set of cells, where each cell contains certain machines that process a sub-set of parts. In recent years, different types of metaheuristics have been used to solve the problem of MPCF. This publication focuses on solving the MPCF problem using a metaheuristic inspired on birds, called Migrating Birds Optimization (MBO) algorithm. Experiments have been conducted to 180 test instances using 2 types of leader exchange in the flock of birds. The results obtained using MBO are equal to or better than other algorithms reported in the literature.

Translated title of the contributionEfficient leader exchange for Migrating Birds Optimization when solving machine-part cell formation problems
Original languageSpanish
Title of host publicationProceedings of the 11th Iberian Conference on Information Systems and Technologies, CISTI 2016
EditorsAlvaro Rocha, Luis Paulo Reis, Manuel Perez Cota, Ramiro Goncalves, Octavio Santana Suarez
PublisherIEEE Computer Society
ISBN (Electronic)9789899843462
DOIs
StatePublished - 25 Jul 2016
Event11th Iberian Conference on Information Systems and Technologies, CISTI 2016 - Gran Canaria, Spain
Duration: 15 Jun 201618 Jun 2016

Publication series

NameIberian Conference on Information Systems and Technologies, CISTI
Volume2016-July
ISSN (Print)2166-0727
ISSN (Electronic)2166-0735

Conference

Conference11th Iberian Conference on Information Systems and Technologies, CISTI 2016
CountrySpain
CityGran Canaria
Period15/06/1618/06/16

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