A bat algorithm for job scheduling in ceramics production lines

Manuel Tupia, Rony Cueva, Miguel Guanira

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

4 Scopus citations

Abstract

The wide array of products manufactured in ceramics production lines and their manufacturing limitations fall into the job scheduling environment. Task scheduling involved in this problem's variant has already been solved by several authors' approaches [1]. That said, this paper intends to propose the use of a relatively new metaheuristics called bat algorithm [3] (BA) to solve such scenarios. Our study includes a numerical experimentation process which confronts the proposed BA algorithm against a Genetic algorithm [2] and a GRASP algorithm [1].

Original languageEnglish
Title of host publication2017 International Conference on Infocom Technologies and Unmanned Systems
Subtitle of host publicationTrends and Future Directions, ICTUS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages266-270
Number of pages5
ISBN (Electronic)9781538605141
DOIs
StatePublished - 2 Jul 2017
Event2017 International Conference on Infocom Technologies and Unmanned Systems, ICTUS 2017 - Dubai, United Arab Emirates
Duration: 18 Dec 201720 Dec 2017

Publication series

Name2017 International Conference on Infocom Technologies and Unmanned Systems: Trends and Future Directions, ICTUS 2017
Volume2018-January

Conference

Conference2017 International Conference on Infocom Technologies and Unmanned Systems, ICTUS 2017
Country/TerritoryUnited Arab Emirates
CityDubai
Period18/12/1720/12/17

Keywords

  • Bat Algorithm
  • Bio-inspired algorithm
  • Job scheduling
  • Meta heuristics
  • Production Scheduling

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