In today's competitive environment, new turbomachinery designs need to be not only more
efficient, quieter, and “greener” but also need to be developed at on much shorter time …

Surrogate-assisted evolutionary algorithms (SAEAs) are well suited for computationally
expensive optimization. However, most existing SAEAs only focus on low-or medium …

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …

Surrogate-assisted evolutionary algorithms (SAEAs) have proven to be effective in solving
computationally expensive optimization problems (EOPs). However, the performance of …

The MAP-Elites algorithm produces a set of high-performing solutions that vary according to
features defined by the user. This technique to'illuminate'the problem space through the lens …

This bibliometric study examines the use of artificial intelligence (AI) methods, such as
machine learning (ML) and deep learning (DL), in the design of thermal energy storage …

Surrogate-assisted evolutionary algorithms (SAEAs) with prescreening model management
strategies show great potential in handling expensive optimization problems (EOPs) …

计算机技术与计算流体力学的不断发展带动了飞行器气动外形设计学科的巨大进步,
气动外形设计方法经历了从" Cut-and-Try" 到反设计再到优化设计, 气动分析方法从依赖风洞 …

Aircraft landing gear assemblies comprise of various subsystems working in unison to
enable functionalities such as taxiing, take-off and landing. As development cycles and …

In the expensive structural optimization, the data-driven surrogate model has been proven to
be an effective alternative to physical simulation (or experiment). However, the static …