2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Wasserstein crossover for evolutionary algorithm-based topology optimization
Taisei Kii, Kentaro Yaji, Hiroshi Teramoto +1
Evolutionary algorithms (EAs) are promising approaches for non-differentiable or strongly multimodal topology optimization problems, but they often suffer from the curse of dimensi…
Data-driven topology design with persistent homology for enhancing population diversity
Taisei Kii, Kentaro Yaji, Hiroshi Teramoto +1
This paper proposes a selection strategy for enhancing population diversity in data-driven topology design (DDTD), a topology optimization framework based on evolutionary algorithm…
Data-driven multifidelity topology design with multi-channel variational auto-encoder for concurrent optimization of multiple design variable fields
Hiroki Kawabe, Kentaro Yaji, Yuichiro Aoki
The objective of this study is to establish a gradient-free topology optimization framework that facilitates more global solution searches to avoid entrapping in undesirable local…
Novel flow field design for vanadium redox flow batteries via topology optimization
Chih-Hsiang Chen, Kentaro Yaji, Shintaro Yamasaki +2
This paper presents a three-dimensional topology optimization method for the design of flow field in vanadium redox flow batteries (VRFBs). We focus on generating a novel flow fiel…