Evolvable Hardware Design of Digital Circuits Based on Adaptive Genetic Algorithm

Author:

Shang Qianyi,Chen Lijun,Wang Dandan,Tong Ruoxiong,Peng Peng

Publisher

Springer International Publishing

Reference17 articles.

1. Higuchi, T., Niwa, T., Tanaka, T., et al.: Evolving hardware with genetic learning: a first step towards building a Darwin machine. In: Proceedings of the 2nd International Conference on Simulated Adaptive Behaviour. MIT Press (1993)

2. Haddow, P.C., Tyrrell, A.M.: Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future. Inspired by Nature (2018)

3. Sipper, M., Sanchez, E., Mange, D., et al.: A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Trans. Evol. Comput. 1(1), 83–97 (2002)

4. Golberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addion Wesley, Reading (1989)

5. Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. MIT Press, Cambridge (1992)

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