Neuro-evolutionary topology optimization of structures by utilizing local state features
Author:
Affiliation:
1. Honda Research Institute Europe GmbH, 63073 Offenbach/Main, Germany, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2576768.2598314
Reference30 articles.
1. F. Ahmed B. Bhattacharya and K. Deb . Constructive solid geometry based topology optimization using evolutionary algorithm. In J. C. Bansal P. K. Singh K. Deep M. Pant and A. K. Nagar editors Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012 ) volume 201 of Advances in Intelligent Systems and Computing pages 227 -- 238 . Springer India 2013. F. Ahmed B. Bhattacharya and K. Deb. Constructive solid geometry based topology optimization using evolutionary algorithm. In J. C. Bansal P. K. Singh K. Deep M. Pant and A. K. Nagar editors Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) volume 201 of Advances in Intelligent Systems and Computing pages 227--238. Springer India 2013.
2. Efficient topology optimization in MATLAB using 88 lines of code
3. Evolutionary generation of neural network update signals for the topology optimization of structures
4. A two phase approach based on skeleton convergence and geometric variables for topology optimization using genetic algorithm
5. Performance evaluation of a two stage adaptive genetic algorithm (TSAGA) in structural topology optimization
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