- author = "Luis E. {Da Costa} and Jacques-Andre Landry",
- title = "Generating grammatical plant models with genetic algorithms",
- booktitle = "Proceedings of the seventh International Conference Adaptive and Natural Computing Algorithms",
- year = "2005",
- editor = "Bernardete Ribeiro and Rudolf F. Albrecht and Andrej Dobnikar and David W. Pearson and Nigel C. Steele",
- address = "Coimbra, Portugal",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, Lindenmayer L-System",
- isbn13 = "978-3-211-24934-5",
-
URL = "
https://link.springer.com/chapter/10.1007/3-211-27389-1_55",
-
URL = "https://doi.org/10.1007/b138998",
-
DOI = "
doi:10.1007/3-211-27389-1_55",
- abstract = "A method for synthesizing grammatical models of natural plants is presented. It is an attempt at solving the inverse problem of generating the model that best describes a plant growth process, presented in a set of 2D pictures. A geometric study is undertaken before translating it into grammatical meaning; a genetic algorithm, coupled with a deterministic rule generation algorithm, is then applied for navigating through the space of possible solutions. Preliminary results together with a detailed description of the method are presented.",
-
notes = "The inverse problem for biological plant growth
",
