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Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis

机译：使用健身景观分析的二次分配问题的自动算法选择

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In the last few years, fitness landscape analysis has seen an increase in interest due to the availability of large problem collections and research groups focusing on the development of a wide array of different optimization algorithms for diverse tasks. Instead of being able to rely on a single trusted method that is tuned and tweaked to the application more and more, new problems are investigated, where little or no experience has been collected. In an attempt to provide a more general criterion for algorithm and parameter selection other than “it works better than something else we tried”, sophisticated problem analysis and classification schemes are employed. In this work, we combine several of these analysis methods and evaluate the suitability of fitness landscape analysis for the task of algorithm selection.
机译：在过去的几年中，由于大问题收集和研究小组的可用性，健身景观分析已经增加了利息，专注于为各种任务开发广泛的不同优化算法。而不是能够依赖于调整和调整到应用程序的单个可信方法，而不是越来越多地调查新的问题，几乎没有收集或没有经验。为了尝试为算法和参数选择提供更一般的标准，而不是“它比我们尝试的其他东西更好”，采用了复杂的问题分析和分类方案。在这项工作中，我们结合了一些这些分析方法，并评估了算法选择任务的适应性。

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