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Design of a genetic algorithm for bi-objective flow shop scheduling problems with re-entrant jobs
2011
The International Journal of Advanced Manufacturing Technology
This paper presents a simulated genetic algorithm (GA) model of scheduling the flow shop problems with re-entrant jobs. The objectives of this research are to minimize the weighted tardiness and makespan. The proposed model considers that the jobs with non-identical due dates are processed on the machines in the same order. Furthermore, the re-entrant jobs are stochastic as only some jobs are required to reenter to the flow shop. The tardiness weight is adjusted once the jobs re-enter to the
doi:10.1007/s00170-011-3251-4
fatcat:yab4fl2pbzfnrek5kqhuchjso4