Abstract
This paper presents the study of modelling root growth behaviours in the soil. The purpose of the study is to investigate a novel biologically inspired methodology for optimization of numerical function. A mathematical framework is designed to model root growth patterns. Under this framework, the interactions between the soil and root growth are investigated. A novel approach called “root growth algorithm” (RGA) is derived in the framework and simulation studies are undertaken to evaluate this algorithm. The simulation results show that the proposed model can reflect the root growth behaviours and the numerical results also demonstrate RGA is a powerful search and optimization technique for numerical function optimization.
This research is partially supported by National Natural Science Foundation of China 61174164, supported by National Natural Science Foundation of China 61003208 and supported by National Natural Science Foundation of China 61105067.
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Zhang, H., Zhu, Y., Chen, H. (2012). Root Growth Model for Simulation of Plant Root System and Numerical Function Optimization. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_82
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DOI: https://doi.org/10.1007/978-3-642-31588-6_82
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