In the context of the introduction of intermittent renewable energies, we propose to optimize the main variables of the control rods of a nuclear power plant to improve its capability to load-follow. The design problem is a black-box combinatorial optimization problem with expensive evaluation based on a multi-physics simulator. Therefore, we use a parallel asynchronous master-worker Evolutionary Algorithm scaling up to thousand computing units. One main issue is the tuning of the algorithm parameters. A fitness landscape analysis is conducted on this expensive real-world problem to show that it would be possible to tune the mutation parameters according to the low-cost estimation of the fitness landscape features.

翻译：在引入间歇性可再生能源的背景下,我们建议优化核电厂控制杆的主要变量,以提高其载荷能力。设计问题是一个黑盒组合优化问题,基于多物理模拟器进行了昂贵的评估。因此,我们使用一个平行的非同步主工进化算法升至一千个计算单位。一个主要问题是算法参数的调整。对这个昂贵的现实世界问题进行了健身地貌分析,以表明根据对健身地貌特征的低成本估计调整突变参数是可能的。