A physarum network evolution model based on IBTM

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7929 LNCS, Issue PART 2, 2013, Pages 19-26

  Liu, Yuxin ^a   Zhang, Zili ^a,b   Gao, Chao ^a   Wu, Yuheng ^a   Qian, Tao ^a  

^a SOUTHWEST UNIVERSITY   (China)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

IBTM; Network Evolution; Physarum Model; Physarum Polycephalum

Indexed keywords

SWARM INTELLIGENCE;

CELLULAR AUTOMATION; IBTM; MORPHOLOGICAL CHARACTERISTIC; NETWORK EVOLUTION; NETWORK EVOLUTION MODEL; PHYSARUM MODELS; PHYSARUM POLYCEPHALUM; TRANSPORTATION MODEL;

EFFICIENCY;

EID: 84884831899     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38715-9_3     Document Type: Conference Paper

References (16)

1. Nakagaki, T., Yamada, H., Hara, M.: Smart Network Solutions in an Amoeboid Organism. Biophysical Chemistry 107(1), 1-6 (2004)
2. Nakagaki, T., Kobayashi, R., Nishiura, Y., Ueda, T.: Obtaining Multiple Separate Food Sources: Behavioural Intelligence in the Physarum Plasmodium. Proceedings of the Royal Society of London. Series B: Biological Sciences 271(1554), 2305-2310 (2004)
3. Adamatzky, A., Jones, J.: Road Planning with Slime Mould: If Physarum Built Motorways It Would Route M6/M74 through Newcastle. International Journal of Bifurcation and Chaos 20(10), 3065-3084 (2010)
4. Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D.P., Fricker, M.D., Yumiki, K., Kobayashi, R., Nakagaki, T.: Rules for Biologically Inspired Adaptive Network Design. Science Signalling 327(5964), 439 (2010)
5. Adamatzky, A.: Route 20, Autobahn 7 and Physarum Polycephalum: Approximating Longest Roads in USA and Germany with Slime Mould on 3D Terrains. arXiv preprint arXiv:1211.0519 (2012)
6. Jones, J.: Characteristics of Pattern Formation and Evolution in Approximations of Physarum Transport Networks. Artificial Life 16(2), 127-153 (2010)
7. Nakagaki, T., Guy, R.D.: Intelligent Behaviors of Amoeboid Movement Based on Complex Dynamics of Soft Matter. Soft Matter 4(1), 57-67 (2007)
8. Nakagaki, T., Yamada, H., Toth, A.: Maze-solving by an Amoeboid Organism. Nature 407(6803), 470 (2000)
9. Tero, A., Kobayashi, R., Nakagaki, T.: A Mathematical Model for Adaptive Transport Network in Path Finding by True Slime Mold. Journal of Theoretical Biology 244(4), 553-564 (2007)
10. Adamatzky, A.: Physarum Machines: Computers from Slime Mould. World Scientific Publishing Company Incorporated (2010)
11. Adamatzky, A.: Physarum Machines: Encapsulating Reaction-diffusion to Compute Spanning Tree. Naturwissenschaften 94(12), 975-980 (2007)
12. Jones, J.: The Emergence and Dynamical Evolution of Complex Transport Networks from Simple Low-level Behaviours. International Journal of Unconventional Computing 6(2), 125-144 (2010)
13. Gunji, Y.P., Shirakawa, T., Niizato, T., Haruna, T.: Minimal Model of a Cell Connecting Amoebic Motion and Adaptive Transport Networks. Journal of Theoretical Biology 253(4), 659-667 (2008)
14. Niizato, T., Shirakawa, T., Gunji, Y.P.: A Model of Network Formation by Physarum Plasmodium: Interplay between Cell Mobility and Morphogenesis. Biosystems 100(2), 108-112 (2010)
15. Gunji, Y.P., Shirakawa, T., Niizato, T., Yamachiyo, M., Tani, I.: An Adaptive and Robust Biological Network Based on the Vacant-particle Transportation Model. Journal of Theoretical Biology 272(1), 187 (2011)
16. Tero, A., Kobayashi, R., Nakagaki, T.: Physarum Solver: A Biologically Inspired Method of Road-network Navigation. Physica A: Statistical Mechanics and Its Applications 363(1), 115-119 (2006)