Simulating Virtual Plants Based on Genetic Algorithm and L-Systems

As an effective technique to dynamically simulate the morphological development of plants, L-system is widely used in the field of plant modeling and visualization. It is a key step to obtain the axiom, the productions, and theirs parameters before simulating a special target. Usually, it is difficult to get those parameters and rules. In order to avoid the blindness and low efficiency in the modeling process, we proposed an automatic algorithm to simulate the images of virtual plant based on Genetic Algorithm and L-systems in this article. The relative techniques of our methods, such as the encoded mode of genetic individuals, the design of the primary population, the design strategies of genetic operations, and the design of evaluation function of fitness are introduced in details. The results demonstrate the algorithm's capability of modeling various plants and ease of use by novice users.