This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

变可信度近似模型通过融合不同精度分析模型的数据, 可有效平衡近似模型预测性能和建模成本
之间的矛盾, 在复杂装备优化设计中受到广泛的关注. 综述变可信度近似模型及其在复杂装备 …

This paper presents a two-stage multi-fidelity (or named variable fidelity) method for
surrogate models in honeycomb crashworthiness design. The high/low-fidelity analyses …

Many real-world optimization problems involve computationally intensive numerical
simulations to accurately evaluate the quality of solutions. Usually, the fidelity of the …

Currently, approximation models have been widely adopted to replace the actual
computationally expensive experiments or simulations in engineering design optimisation …

An asymmetric suboptimization method for performing multidisciplinary design optimization
is introduced. The objective of the proposed method is to improve the overall efficiency of …

A new approach of using computationally cheap surrogate models for efficient optimization
of simulated moving bed (SMB) chromatography is presented. Two different types of …

This paper describes a modified variable complexity modeling (MVCM) framework that uses
a neural network to replace the Taylor series after several warm-up iterations. The MVCM …

By coupling the low-fidelity (LF) model with the high-fidelity (HF) samples, the variable-
fidelity model (VFM) offers an efficient way to overcome the expensive computing challenge …

In this work, a flat pressure bulkhead reinforced by an array of beams is designed using a
suite of heuristic optimization methods (Ant Colony Optimization, Genetic Algorithms …