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Boosting evolutionary algorithm configuration
Annals of Mathematics and Artificial Intelligence ( IF 1.2 ) Pub Date : 2021-05-04 , DOI: 10.1007/s10472-020-09726-y
Carlos Ansótegui , Josep Pon , Meinolf Sellmann

Algorithm configuration has emerged as an essential technology for the improvement of high-performance solvers. We present new algorithmic ideas to improve state-of-the-art solver configurators automatically by tuning. Particularly, we introduce 1. a forward-simulation method to improve parallel performance, 2. an improvement to the configuration process itself, and 3. a new technique for instance-specific solver configuration. Extensive experimental results show that the new solver configurator compares very favorably with the state-of-the-art in automatic configuration for combinatorial solvers.



中文翻译:

提升进化算法的配置

算法配置已成为改善高性能求解器的一项必不可少的技术。我们提出了新的算法思想,可以通过调整自动改进最先进的求解器配置器。特别是,我们介绍了1.一种提高并行性能的正向仿真方法,2.一种对配置过程本身的改进,以及3.一种针对特定实例的求解器配置的新技术。大量的实验结果表明,新的求解器配置器与组合求解器的自动配置方面的最新技术相比非常出色。

更新日期:2021-05-04
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