BERT and Pareto dominance applied to biological strategy decision for bio-inspired design
BERT and Pareto dominance applied to biological strategy decision for bio-inspired design
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BERT 和 Pareto 优势应用于仿生设计的生物策略决策
DOI：
10.1016/j.aei.2023.101904
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发表时间：
2023-01
影响因子：
8.8
通讯作者：
Chengying Bai
中科院分区：
文献类型：
--
作者：
Feng Sun;He Xu;Yihan Meng;Zhimao Lu;Siqing Chen;Qi;iao Wei;Chengying Bai
生物启发设计（BID）方法为创新设计提供了许多新颖的建议。与此同时，它导致了替代品的爆炸式增长。选择少量的个性化推荐变得越来越困难，工程师可能更喜欢更少的目标。此外，工程师可以在BID中选择具有多样性和可行性的设计。然而，BID的多样性和可行性往往是矛盾的。工程师需要应用多目标优化方法来找到更好的BID，以确保可实施性。针对上述问题，本文基于目前最流行的生物学决策模型BID-AskNature中的生物学策略，提出了一种跨学科的生物学决策方法，该方法在生物学决策模型中引入了双向编码器表示（BERT）和帕累托优势生物学策略决策（BPBSD）。首先，我们使用BERT来寻找与BID关键字相似的潜在生物策略。然后，针对BID的功能多样性和可行性，运用帕累托优势理论解决了这一矛盾。最后，通过三个不同的应用案例验证了该方法的有效性.实验结果表明，该方法能够较好地平衡BID中多样性和可行性之间的关系。希望这项工作能为BID提供实际指导。
Bio-inspired design (BID) approaches have provided numerous novel proposals for innovative design. Meanwhile, it resulted in an explosion of alternatives. Choosing a small amount of the personalized recommendations is becoming more and more difficult, and engineers may prefer fewer goals. Furthermore, engineers may choose designs that have variety and feasibility in BID. However, the diversity and feasibility of BID are often contradictory. Engineers need to apply multi-objective optimization methods to find better BID to ensure implementable. Aiming to overcome the above problems, based on the biological strategies from the most popular BID-AskNature, we proposed an interdisciplinary approach with the bidirectional encoder representation from transformers (BERT) and Pareto dominance for biological strategy decision (BPBSD) in the BID. First, we use BERT to find potential biological strategies similar to the keyword of BID. Then, aiming at the functional diversity and the feasibility of BID, we used the Pareto dominance theory to solve the contradiction. Finally, we verify the effectiveness of the proposed approach with three different application cases. Experiments show that the proposed BPBSD can balance the relationship between diversity and feasibility in BID. It is hoped that this work provides practical guidance for BID.
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作者：
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通讯作者：
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用于软体机器人的仿生纤维增强双模式执行器
DOI：
10.1016/j.sna.2022.113761
发表时间：
2022-07
期刊：
Sensors and Actuators: A. Physical
影响因子：
--
作者：
Wei Qi;iao;Xu He
通讯作者：
Xu He