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- W2212771874 abstract "job-shop scheduling problem is an NP-hard optimization problem. It is generally solved using either predictive methods such as discrete optimization which try to find a solution that fits constraints and that optimizes one or more objectives or usingreactive methods such real-time control methods which try to build incrementally in real-time a solution of the problem. Predictive-reactive methods try to combine both advantages of predictive and reactive methods (i.e., good performances andreactivity). The group sequencing method is one of the most studied predictive-reactive methods. The goal of this method is to have a sequential flexibility during the execution of the schedule and to guarantee a minimal quality corresponding to theworst-case.The best-case quality has also been successfully addressed by [Pinot2008] using a branch and bound procedure. It has been established for every regular objective. In this paper we propose two new branching processes to compute the best-case for the makespan which is one of the most studied regular objective. The experiments made on very well-known instances of the job-shop problem show the benefits of these new branching procedures.}" @default.
- W2212771874 created "2016-06-24" @default.
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- W2212771874 date "2014-11-05" @default.
- W2212771874 modified "2023-10-02" @default.
- W2212771874 title "A NEW APPROACH FOR THE BEST-CASE SCHEDULE IN A GROUP SEQUENCE" @default.
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