论文标题
设计优化中的机器学习算法
Machine Learning Algorithms in Design Optimization
论文作者
论文摘要
复杂系统的数值优化受益于过去二十年来计算平台的技术开发。不幸的是，这仍然不够，当采用包括更丰富（并且更现实的）物理模型的数学模型时，仍然需要大量的计算时间。 在本文中，我们展示了优化和人工智能（AI）的组合，尤其是机器学习算法，可以有助于强烈减少整个计算时间，从而在优化周期内使用复杂的模拟系统。还提出了原始方法。
Numerical optimization of complex systems benefits from the technological development of computing platforms in the last twenty years. Unfortunately, this is still not enough, and a large computational time is still necessary when mathematical models that include richer (and therefore more realistic) physical models are adopted. In this paper we show how the combination of optimization and Artificial Intelligence (AI), in particular the Machine Learning algorithms, can help in strongly reducing the overall computational times, making possible the use of complex simulation systems within the optimization cycle. Original approaches are also proposed.
