In this section
@inproceedings{Chen:2024:10.21606/drs.2024.908,
author = {Chen, L and Cai, Z and Cheang, W and Sun, L and Childs, P and Zuo, H},
doi = {10.21606/drs.2024.908},
pages = {1--21},
publisher = {Design Research Society},
title = {An Llm-based concept generation method for solution-driven bio-inspired design},
url = {http://dx.doi.org/10.21606/drs.2024.908},
year = {2024}
}
TY - CPAPER
AB - Bio-inspired design (BID) is a design methodology that employs biological analogies for engineering design, encompassing problem-driven and solution-driven BID. Solution-driven BID starts with knowledge of a specific biological system for technical design. Despite the proven benefits of solution-driven BID, the gap between biological solutions and engineering problems hinders its effective application, with designers frequently encountering misaligned problem-solution pairs and facing multidisciplinary knowledge gaps in the analogical transfer process. Therefore, this research proposes a large language model (LLM)-based concept generation method, designed to automatically search for problems, transfer biological analogy, and generate solution-driven BID concepts in the form of natural language. A concept generator and two evaluators are identified and fine-tuned from the LLM. The method is evaluated by an ablation study, machine-based quantitative assessments, and human subjective evaluations. The results show our method can generate solution-driven BID concepts with high quality.
AU - Chen,L
AU - Cai,Z
AU - Cheang,W
AU - Sun,L
AU - Childs,P
AU - Zuo,H
DO - 10.21606/drs.2024.908
EP - 21
PB - Design Research Society
PY - 2024///
SN - 2398-3132
SP - 1
TI - An Llm-based concept generation method for solution-driven bio-inspired design
UR - http://dx.doi.org/10.21606/drs.2024.908
ER -