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New Crossover Methods For Sequencing Problems

机译:用于排序问题的新交叉方法

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In this paper we present two new crossover operators that make use of macro-order information and neighborhood information in sequencing problems. None of them needs local information, thus making them usable for a wide area of applications, e.g., optimal variable orders for binary decision diagrams, scheduling problems, seriation in archeology. The experimental results are promising. Especially they show that macro-order and neighborhood information is very important.
机译:在本文中,我们展示了两个新的交叉运算符,在排序问题中使用宏观信息和邻居信息。它们都不需要本地信息,从而使它们可用于广域的广域,例如,用于二进制决策图,调度问题,考古学序列的最佳可变订单。实验结果很有前景。特别是他们表明宏观顺序和邻居信息非常重要。

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