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- W2891638018 abstract "This research draws on theories in discrete event simulation, order statistics and record-breaking statistics to develop a methodology for deciding when to stop a combinatorial optimization search. During the first optimization period, the objective function improves rapidly with the iterations, and the improvement slows gradually until it almost stalls. We adopt a popular method to detect the period of rapid improvements of the “warm-up period”, and then we propose a special control chart technique to identify with a given certainty reaching a steady state. Then, we suggest using the theory of record-breaking to decide on a stopping criterion. In addition, the paper develops estimates for the optimum bounds and estimates for value and timing of the next expected improvement. The advantages of this approach are discussed." @default.
- W2891638018 created "2018-09-27" @default.
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- W2891638018 date "2018-09-19" @default.
- W2891638018 modified "2023-09-26" @default.
- W2891638018 title "When to Stop? A New Stop Criterion for Combinatorial Optimization Search Techniques" @default.
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- W2891638018 doi "https://doi.org/10.1007/978-3-319-96005-0_26" @default.
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