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Hybrid algorithm of Tabu Search and Integer Programming for the railway crew scheduling problem

机译:禁忌搜索和整数规划的混合算法求解铁路人员调度问题

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The crew scheduling problem (CSP) is an important problem for the transportation enterprises, especially when crew's cost is increasing. This justifies the researcher's effort in order to create algorithms which obtain good solutions for this kind of problems. Particularly, hybrid algorithms appear as an efficient alternative in order to solve any combinatorial optimization problem. Tabu Search (TS) is a simple metaheuristic which has been applied in many combinatorial problems, obtaining very competitive solutions. Integer Programming (IP), in this case, allows to the TS algorithm to have a good level of diversification, avoiding that it's converge to local optimal solutions. In this article we presents an hybrid algorithm of Tabu Search and Integer Programming which is applied to the both CSP instances obtained from the literature and a real application case in Chile (MERVAL). The hybrid algorithm obtains good solutions in both cases, and obtains an important minimization in the execution time in the MERVAL case.
机译:机组调度问题(CSP)对于运输企业来说是一个重要的问题,尤其是在机组成本增加的情况下。这证明了研究人员为创建可为此类问题获得良好解决方案的算法而付出的努力是正确的。特别是,混合算法似乎是解决任何组合优化问题的有效替代方法。禁忌搜索(Tabu Search,TS)是一种简单的元启发式方法,已应用于许多组合问题中,获得了具有竞争力的解决方案。在这种情况下,整数编程(IP)允许TS算法具有良好的多样化水平,从而避免其收敛于局部最优解。在本文中,我们提出了禁忌搜索和整数编程的混合算法,该算法适用于从文献中获得的两个CSP实例以及智利的一个实际应用案例(MERVAL)。在这两种情况下,混合算法均能获得良好的解决方案,而在MERVAL情况下,混合算法会在执行时间上获得重要的最小化。

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