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.

中文翻译：

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用于核反应堆设计的异步 Master-Worker EA 调整的适应性景观视图

在引入间歇性可再生能源的背景下，我们建议优化核电站控制棒的主要变量，以提高其负载跟随能力。设计问题是基于多物理场模拟器的具有昂贵评估的黑盒组合优化问题。因此，我们使用并行异步主从进化算法扩展到数千个计算单元。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适应度景观分析，以表明可以根据适应度景观特征的低成本估计来调整变异参数。