Items where Author / Artist / Editor is "Adamatzky, Andrew"

Article

Zhang, Xiaoge, Adamatzky, Andrew, Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556, Yang, Hai, Mahadevan, Sankaran and Deng, Yong (2016) A physarum-inspired approach to supply chain network design. Science China Information Sciences, 59 . ISSN 1674-733X [Article] (doi:10.1007/s11432-015-5417-4)

Zhang, Xiaoge, Adamatzky, Andrew, Chan, Felix T. S., Deng, Yong, Yang, Hai, Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556, Tsompanas, Michail-Antisthenis I., Sirakoulis, Georgios Ch. and Mahadevan, Sankaran (2015) A biologically inspired network design model. Scientific Reports, 5 . ISSN 2045-2322 [Article] (doi:10.1038/srep10794)

Zhang, Xiaoge, Adamatzky, Andrew, Yang, Hai, Mahadaven, Sankaran, Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556, Wang, Qing and Deng, Yong (2014) A bio-inspired algorithm for identification of critical components in the transportation networks. Applied Mathematics and Computation, 248 . pp. 18-27. ISSN 0096-3003 [Article] (doi:10.1016/j.amc.2014.09.055)

Adamatzky, Andrew, Akl, Selim, Alonso-Sanz, Ramon, Van Dessel, Wesley, Ibrahim, Zuwairie, Ilachinski, Andrew, Jones, Jeff, Kayem, Anne V. D. M., Martínez, Genaro J., De Oliveira, Pedro, Prokopenko, Mikhail, Schubert, Theresa, Sloot, Peter, Strano, Emanuele and Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556 (2013) Are motorways rational from slime mould's point of view? International Journal of Parallel, Emergent and Distributed Systems, 28 (3) . pp. 230-248. ISSN 1744-5760 [Article] (doi:10.1080/17445760.2012.685884)

Book Section

Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556 (2021) Swarm and stochastic computing for global optimization. In: Handbook of Unconventional Computing - Volume 1: Theory. Adamatzky, Andrew, ed. WSPC Book Series in Unconventional Computing . World Scientific, pp. 469-487. ISBN 9789811235719, e-ISBN 9789811235726. [Book Section] (doi:10.1142/9789811235726_0015)

Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556 (2016) Nature-inspired computation: an unconventional approach to optimization. In: Advances in Unconventional Computing - Volume 2: Prototypes, Models and Algorithms. Adamatzky, Andrew, ed. Emergence, Complexity and Computation, 23 . Springer, Cham, pp. 543-560. ISBN 9783319339207, pbk-ISBN 9783319816326, e-ISBN 9783319339214. [Book Section] (doi:10.1007/978-3-319-33921-4_20)