Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

摘要随着电机应用领域的不断拓宽, 电机多学科优化技术已经成为电机优化技术的重要研究方向
. 该文概述了目前电机优化技术领域中囊括的多学科模型, 分析了代理模型的优势; …

摘要高速永磁电机(HSPMM) 由于具有功率密度和效率高, 体积小, 质量轻及动态响应快等优点
受到越来越多的关注. 然而, HSPMM 的设计是一个典型的非线性的多物理场耦合设计过程 …

Real-world supply chain management problems are highly complicated such that their
optimization procedure is computationally expensive due to the extensive dimensions and …

Permanent magnet (PM) vernier machine has excellent prospects because of its high torque
density, whereas its power factor is lower than conventional PM counterpart. At present …

In spite of the wide improvements in computer simulation packages, many complex
simulation models, particularly under uncertainty, may be inefficient to run in terms of time …

In the context of modern industry, optimization emerges as one of the most powerful tools,
allowing decision-makers to allocate their resources more assertively and deal with complex …

This paper aims the development of a new reduced-cost algorithm for a multi-objective
robust transmitter placement under uncertainty. Toward this end, we propose a new hybrid …

This paper aims to further increase the reliability of optimal results by setting the simulation
conditions to be as close as possible to the real or actual operation to create a Cyber …

Kriging or Gaussian process models are popular metamodels (surrogate models or
emulators) of simulation models; these metamodels give predictors for input combinations …