An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times

  • Authors:
  • Marcelo Seido Nagano;Augusto Almeida Da Silva;Luiz Antonio Nogueira Lorena

  • Affiliations:
  • University of São Paulo, School of Engineering of São Carlos, Production Engineering Department, São Carlos, SP, Brazil;University of São Paulo, School of Engineering of São Carlos, Production Engineering Department, São Carlos, SP, Brazil;National Institute for Space Research, Computing and Applied Mathematics Laboratory, São José dos Campos, SP, Brazil

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2014

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Abstract

This paper examines the m machine no-wait flow shop problem with setup times of a job separated from its processing time. The performance measure considered is the makespan. The hybrid metaheuristic Evolutionary Cluster Search (ECS_NSL) proposed in Nagano et al. (2012) is extended to solve the scheduling problem. The ECS_NSL performance is evaluated and the results are compared with the best method reported in the literature. Experimental tests show superiority of the ECS_NSL regarding the solution quality.