Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors

Abstract: Plant root foraging exhibits complex behaviors analogous to those of animals, including the adaptability to continuous changes in soil environments. In this work, we adapt the optimality principles in the study of plant root foraging behavior to create one possible bio-inspired optimization framework for solving complex engineering problems. This provides us with novel models of plant root foraging behavior and with new methods for global optimization. This framework is instantiated as a new search paradigm, which combines the root tip growth, branching, random walk, and death. We perform a comprehensive simulation to demonstrate that the proposed model accurately reflects the characteristics of natural plant root systems. In order to be able to climb the noise-filled gradients of nutrients in soil, the foraging behaviors of root systems are social and cooperative, and analogous to animal foraging behaviors.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors ; volume:11 ; number:1 ; year:2016 ; pages:447-457 ; extent:11
Open life sciences ; 11, Heft 1 (2016), 447-457 (gesamt 11)

Creator
Su, Weixing
Na, Lin
Liu, Fang
Liu, Wei
Ashraf, Muhammad Aqeel
Chen, Hanning

DOI
10.1515/biol-2016-0059
URN
urn:nbn:de:101:1-2409201634534.521146145986
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:30 AM CEST

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Associated

  • Su, Weixing
  • Na, Lin
  • Liu, Fang
  • Liu, Wei
  • Ashraf, Muhammad Aqeel
  • Chen, Hanning

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