most citedData-driven topology design with persistent homology for enhancing population diversity

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2025

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…

math.OC2024★ 1 cited

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…