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Optimal Factory Scheduling using Stochastic Dominance A*
[article]
2013
arXiv
pre-print
We examine a standard factory scheduling problem with stochastic processing and setup times, minimizing the expectation of the weighted number of tardy jobs. Because the costs of operators in the schedule are stochastic and sequence dependent, standard dynamic programming algorithms such as A* may fail to find the optimal schedule. The SDA* (Stochastic Dominance A*) algorithm remedies this difficulty by relaxing the pruning condition. We present an improved state-space search formulation for
arXiv:1302.3611v1
fatcat:nqob627czvgpvm35imnbo6nepm