Abstract
Terrestrial plants have evolved remarkable adaptability that enables them to sense environmental stimuli and use this information as a basis for governing their growth orientation and root system development. In this paper, we explain the foraging behaviors of plant root and develop simulation models based on the principles of adaptation processes that view root growing as optimization. This provides us with novel models of plant root foraging behavior and with new methods for global optimization. This model is instantiated as a novel bio-inspired optimization model, which adopts the root foraging, memory and communication, and auxin-regulated mechanisms of the root system. We perform comprehensive simulation to demonstrate that the proposed model exhibit the property identified by natural plant root system. That is, in order to be able to climb noisy gradients in nutrients in soil, the foraging behaviors of root system is social and cooperative that is analogous to animal foraging behaviors.
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El-Abd, M.: Performance assessment of foraging algorithms vs. evolutionary algorithms. Inf. Sci. 182(1), 243–263 (2012)
Socha, K., Dorigo, M.: Ant colony optimization for continuous domains. Eur. J. Oper. Res. 185(3), 1155–1173 (2008)
Kennedy, J.: The particle swarm as collaborative sampling of the search space. Adv. Complex Syst. 10, 191–213 (2007)
Akay, B., Karaboga, D.: A modified artificial bee colony algorithm for real-parameter optimization. Inf. Sci. 192(1), 120–142 (2012)
McNickle, G.G., Clair, C.C.S., Cahill Jr., J.F.: Focusing the metaphor: plant root foraging behavior. Trends Ecol. Evol. 24(8), 419–426 (2009)
de Kroon, H., Mommer, L.: Root foraging theory put to the test. Trends Ecol. Evol. 21, 113–116 (2006)
Falik, O., Reides, P., Gersani, M., Novoplansky, A.: Root navigation by self inhibition. Plant Cell Environ. 28, 562–569 (2005)
Karban, R.: Plant behaviour and communication. Ecol. Lett. 11, 727–739 (2008)
Kembel, S.W., Cahill, J.F.: Plant phenotypic plasticity belowground: a phylogenetic perspective on root foraging trade-offs. Am. Nat. 166, 216–230 (2005)
Gilroy, S., Masson, P.H. (eds.): Plant Tropisms. Blackwell Publishing, Ames, Oxford, Victoria (2008)
Rubio, G., Walk, T.C., Ge, Z., Yan, X.L., Liao, H., Lynch, J.: Root gravitropism and below-ground competition among neighbouring plants: a modelling approach. Ann. Bot. 88, 929–940 (2002)
Dubrovsky, J.G., Sauer, M., Napsucialy-Mendivil, S., Ivanchenko, M.G., Friml, J., Shishkova, S., Celenza, J., Benková, E.: Auxin acts as a local morphogenetic trigger to specify lateral root founder cells. Proc. Natl. Acad. Sci. USA 105, 8790–8794 (2008)
Hodge, A., Berta, G., Doussan, C., Merchan, F., Crespi, M.: Plant root growth, architecture and function. Plant Soil 321(1–2), 153–187 (2009)
Banks, A., Vincent, J., Phalp, K.: Natural strategies for search. Nat. Comput. 8, 547–570 (2009)
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Chen, H., Liang, X., He, M., Su, W. (2016). Biomimicry of Plant Root Foraging for Distributed Optimization: Models and Emergent Behaviors. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_28
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DOI: https://doi.org/10.1007/978-981-10-3614-9_28
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