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Author Mejia, G.; Pereira, J. doi  openurl
  Title Multiobjective scheduling algorithm for flexible manufacturing systems with Petri nets Type
  Year 2020 Publication Journal Of Manufacturing Systems Abbreviated Journal J. Manuf. Syst.  
  Volume 54 Issue Pages 272-284  
  Keywords Machine scheduling; Multi-objective optimization; Petri nets  
  Abstract In this work, we focus on general multi-objective scheduling problems that can be modeled using a Petri net framework. Due to their generality, Petri nets are a useful abstraction that captures multiple characteristics of real-life processes. To provide a general solution procedure for the abstraction, we propose three alternative approaches using an indirect scheme to represent the solution: (1) a genetic algorithm that combines two objectives through a weighted fitness function, (2) a non dominated sorting genetic algorithm (NSGA-II) that explicitly addresses the multi-objective nature of the problem and (3) a multi-objective local search approach that simultaneously explores multiple candidate solutions. These algorithms are tested in an extensive computational experiment showing the applicability of this general framework to obtain quality solutions.  
  Address [Mejia, Gonzalo] Univ La Sabana, Fac Engn, Campus Puente del Comun, Chia, Colombia, Email: gonzalo.mejia@unisabana.edu.co;  
  Corporate Author Thesis  
  Publisher Elsevier Sci Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0278-6125 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000521511500021 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 1154  
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