A practical generative design method

By Sivam Krish. Comput. Aided Des., 2011

388 citations recorded by the source corpus.

Subfields: Architecture, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/56bcede9a7485e174a9b063b97494ae35ad73259

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Architecture

1. Ikjin Lee
2. Sangeun Oh
3. Seongsin Kim
4. Namwoo Kang
5. Yongsu Jung

In Industrial and Manufacturing Engineering

1. Ikjin Lee
2. Sangeun Oh
3. Seongsin Kim
4. Namwoo Kang
5. Yongsu Jung

In Mechanical Engineering

1. Ikjin Lee
2. Sangeun Oh
3. Seongsin Kim
4. Namwoo Kang
5. Yongsu Jung

Citations in the corpus

• Deep Generative Design: Integration of Topology Optimization and Generative Models (2019, methodology): “The generative design is one of the design exploration methods performed by typically varying design geometry parametrically and assessing the performance of output designs [18,19].”
• Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends (2021, background): “Generative design has a broader history and scope beyond the ML space (Krish, 2011).”