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Transgenetic algorithm for the biobjective oil derivatives distribution problem

机译:双目标油衍生物分布问题的转基因算法

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To distribute oil derivatives by multi-product pipelines is an important problem faced by the petroleum industry. Some researchers deal with it as a discrete problem where batches of products flow in a network. Usually, no separation devices exist between batches of different products and losses due to interface can be significant. Minimizing delivery time is a usual objective handled by engineers when scheduling products in pipeline networks. Nevertheless, costs due to interface cannot be disregarded. This paper addresses the problem where these two criteria are considered simultaneously. A Transgenetic Algorithm is proposed for it and applied to 30 real-like instances. Transgenetic algorithms are evolutionary approaches based on interactions between a host and its endosymbionts. Computational experiments show that the proposed approach is very effective when compared to other algorithms proposed previously in literature.
机译:通过多产品管道分配石油衍生物是石油工业面临的重要问题。一些研究人员将其视为离散问题,成批产品在网络中流动。通常,在不同产品的批次之间不存在分离装置,并且由于界面造成的损失可能很大。缩短交货时间是工程师在管道网络中调度产品时通常要实现的目标。但是,由于接口而产生的成本不可忽略。本文解决了同时考虑这两个标准的问题。为此提出了一种转基因算法,并将其应用于30个实物实例。转基因算法是基于宿主与其内共生体之间相互作用的进化方法。计算实验表明,与文献中先前提出的其他算法相比,该方法非常有效。

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