[HTML][HTML] Parallel multi-objective optimization for expensive and inexpensive objectives and constraints

R de Winter, B Milatz, J Blank, N van Stein… - Swarm and Evolutionary …, 2024 - Elsevier
Expensive objectives and constraints are key characteristics of real-world multi-objective
optimization problems. In practice, they often occur jointly with inexpensive objectives and …

Artificial Intelligence Approach in Aerospace for Error Mitigation

J Bautista-Hernández, MÁ Martín-Prats - Aerospace, 2024 - mdpi.com
Many of the reports created at assembly lines, where all components of an aircraft are
installed, frequently indicate that errors threaten safety. The proposed methodology in this …

[PDF][PDF] Retrieval-Augmented Generation in Engineering Design

DP Ghosh, DA Team - 2024 - researchgate.net
This paper explores the application of Retrieval-Augmented Generation (RAG) in
engineering design, examining its potential to revolutionize the design process through …

[PDF][PDF] Large-ScaleMulti-Objective Optimization Algorithm Based on Weighted Overlapping Grouping of Decision Variables.

L Chen, J Zhang, L Wu, X Cai… - CMES-Computer Modeling …, 2024 - cdn.techscience.cn
The large-scale multi-objective optimization algorithm (LSMOA), based on the grouping of
decision variables, is an advanced method for handling high-dimensional decision …

A Novel Constrained Latin Hypercube Sampling for Electric Machine

J Li, NML Tan, Z Xu, W Fu - 2023 IEEE Industrial Electronics …, 2023 - ieeexplore.ieee.org
It is important to accurately construct a data-driven geometric model for the electric machine
(EM) to avoid parts overlapping, which can result in the failure of performance analysis using …

[PDF][PDF] Swarm and Evolutionary Computation

R de Winter, B Milatz, J Blank, N van Stein, T Bäck… - scholarlypublications …
Expensive objectives and constraints are key characteristics of real-world multi-objective
optimization problems. In practice, they often occur jointly with inexpensive objectives and …