Integration of fuzzy system into Genetic L-System Programming based plant modeling environment with Mathematica

Modeling of the plant growth can be visualized using the approach of Lindenmayer System (L-System). The L-System is generally used as the backbone to develop the realistic modeling for the plant's growth. The Genetic L-System Programming (GLP) is evolutionary creation and development of parallel rewrite systems (L-Systems) which provide a commonly used formalism to describe developmental processes of natural organisms. To make the condition close to the real environment characteristic, it is required the axiom and syntax grammar for the L-System. In this paper, we propose the use of fuzzy system together with the Genetic L-System Programming method, to model the plant's growth based on the current environment condition. At the beginning of plant growth, let the sprout of plant initially be denoted as axiom. This characteristic rules are illustrated in the reproduction of Genetic L-System Programming (simulated evolution and simulated structure formation) also occur in nature of plant growth conditions based on fuzzy system. The software used in this modeling is Mathematica. The growth parameters value is given based on the fuzzy system, the plant growth is visualized with the L-System method, controlled evolution of complex structures is exemplified by the development of tree structures generated by the movement of a 3D-turtle and the 3-Dimension graph is shown as the virtual plant growth. In this research, some samples of axiom have been given based on fuzzy system. This research also demonstrates that the Genetic L-System Programming is able to show the characteristic and structural visualization on the plant growth according to the environment.