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Experiments on the CEC 2015 expensive optimization testbed

机译:在CEC 2015昂贵的优化测试平台上进行实验

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We experiment various simple classical algorithms on the expensive optimization testbed from CEC2015. CMA performs best, in particular its DCMA flavor using quasi-random numbers. Nelder-Mead also performs well. Portfolios performed well for the given budget (500 evaluations in dimension 10 and 1500 evaluations in dimension 30), but not the half budget, which is also taken into account in the competition, hence we did not include them in the final version.
机译:我们在CEC2015的昂贵的优化测试床上对各种简单的经典算法进行了实验。 CMA表现最好,特别是使用准随机数的DCMA风格。 Nelder-Mead的表现也不错。在给定的预算下(10个维度中的500个评估和30个维度中的1500个评估),项目组合表现良好,但是竞争中也考虑了一半预算,因此我们在最终版本中并未将其纳入考虑范围。

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