When I first thought of my grocery store model, I thought a simulation would answer a few direct questions.

当我最初考虑食品杂货店模型时，我认为模拟可以解答几个直接问题。

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Using the presented simulation, we can ask questions about the economic and wait-time implications of various modifications to scanner technologies, shopper habits, staffing needs, and so on.

通过使用所演示的模拟，我们可以根据对扫描器技术、购物者习惯、人员配备需求等进行的各种更改所产生的经济上和等待时间上的含义提出问题。

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In view of the similarities between data clustering analysis and optimization questions, this paper deals with data clustering analysis by using simulation anneal algorithms.

本文针对数据聚类分析和最优化问题的相似点，用模拟退火算法进行聚类分析。

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