Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network-Reference-Cited by-同舟云学术

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Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network

Published:2015 Issue: Volume: Page:153-165
ISSN:0302-9743
Container-title:Information Processing in Cells and Tissues
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Author:

Turner Alexander P.,Trefzer Martin A.,Lones Michael A.,Tyrrell Andy M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23108-2_13

Reference20 articles.

1. Bird, A.: Perceptions of epigenetics. Nature 447(7143), 396–398 (2007)

2. Bull, L.: Consideration of mobile DNA: new forms of artificial genetic regulatory networks. Nat. Comput. 12(4), 443–452 (2013)

3. Lecture Notes in Computer Science;K Deb,2000

4. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

5. Hamann, H., Schmickl, T., Crailsheim, K.: Coupled inverted pendulums: a benchmark for evolving decentral controllers in modular robotics. In: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, pp. 195–202. ACM (2011)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementation of Reduced Precision Integer Epigenetic Networks in Hardware;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05

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