Abstract
Production resettings is a vital element of production flexibility and optimizing the setup tasks scheduling within a production channel is required to improve production rate. This paper deals with a NP-Hard production resetting optimization problem based on an industrial case. In this paper we present how to hybrid a Branch-and-Bound method for this problem with a genetic algorithm. The idea is to use the genetic algorithm to improve the upper bound and thus speeding up the Branch-and-Bound while the genetic algorithm uses the content of the Branch-and-Bound stack to reduce its search space. Both methods are running in parallel and are therefore collaborating together.
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Pessan, C., Bouquard, JL., Néron, E. (2008). Genetic Branch-and-Bound or Exact Genetic Algorithm?. In: Monmarché, N., Talbi, EG., Collet, P., Schoenauer, M., Lutton, E. (eds) Artificial Evolution. EA 2007. Lecture Notes in Computer Science, vol 4926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79305-2_12
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DOI: https://doi.org/10.1007/978-3-540-79305-2_12
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