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Dominance property based tabu search for single machine scheduling problems with family setups
Authors:Jin Feng  Song Shiji  Wu Cheng
Affiliation:Dept. of Automation, Tsinghua Univ., Beijing 100084, P. R. China
Abstract:The problem of minimizing the maximum lateness on a single machine with family setups is considered. To solve the problem, dominance property is studied and then introduced into the tabu search (TS) algorithm. With the dominance property, most unpromising neighbors can be excluded from the neighborhood, which makes the search process always focus on the most promising areas of the solution space. The proposed algorithms are tested both on the randomly generated problems and on the real-life problems. Computational results show that the proposed TS algorithm outperforms the best existing algorithm and can solve the real-life problems in about 1.3 on average.
Keywords:single machine  family setups  tabu search  dominance property
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