Evolving Complete L-Systems: Using Genetic Algorithms for the Generation of Realistic Plants

被引：2

作者：

Fitch, Benjamin G. ^{[1
]}

Parslow, Patrick ^{[1
]}

Lundqvist, Karsten O. ^{[1
]}

机构：

[1] Univ Reading, Sch Syst Engn, Reading, England

来源：

ARTIFICIAL LIFE AND INTELLIGENT AGENTS | 2018年 / 732卷

关键词：

D O I：

10.1007/978-3-319-90418-4_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces the idea of producing a platform, from which to set into motion the evolution of a virtual plant. The plants are represented and generated using the mathematical formalism of Lindenmayer Systems, with the genome being embodied by the production rules and variables of the L-System, for both the plant and its roots. Evolution is then simulated using Genetic Algorithms, which are driven by a user defined fitness function, in the form of an equation. This is all packaged in a Graphical User Interface (GUI), allowing the user control over the different genetic operators of the genetic algorithm.

引用

页码：16 / 23

页数：8

共 50 条

[41] Probabilistic L-Systems Can Look Like the Branches of Plants and Trees
Huebler, Alfred
COMPLEXITY, 2012, 17 (04) : 5 - 7
[42] Generating vast varieties of realistic leaves with parametric 2Gmap L-systems
Alexandre Peyrat
Olivier Terraz
Stephane Merillou
Eric Galin
The Visual Computer, 2008, 24 : 807 - 816
[43] A Modular Generative Approach for Realistic River Deltas: When L-Systems and cGANs Meet
Oswaldo Valencia-Rosado, Luis
Guzman-Zavaleta, Zobeida J.
Starostenko, Oleg
IEEE ACCESS, 2022, 10 : 5753 - 5767
[44] Microglia modelling and analysis using L-systems grammar
Jelinek, Herbert F.
Karperien, Audrey
BIOSIGNALS 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING, VOL II, 2008, : 289 - 294
[45] A Virtual Reality Game Utilizing L-Systems for Dynamic Level Generation
Yaswinski, Matthew
Chelladurai, Jeyaprakash
Barot, Shivani
JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY, 2024, 15 (02) : 276 - 280
[46] Evolving homeostatic tissue using genetic algorithms
Gerlee, Philip
Basanta, David
Anderson, Alexander R. A.
PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 2011, 106 (02): : 414 - 425
[47] Evolving sinusoidal oscillators using genetic algorithms
Aggarwal, V
2003 NASA/DOD CONFERENCE ON EVOLVABLE HARDWARE, 2003, : 67 - 76
[48] Evolving transformation sequences using genetic algorithms
Fatiregun, D
Harman, M
Hierons, RM
FOURTH IEEE INTERNATIONAL WORKSHOP ON SOURCE CODE ANALYSIS AND MANIPULATION, PROCEEDINGS, 2004, : 65 - 74
[49] Complete expression trees for evolving fuzzy classifier systems with genetic algorithms and application to network intrusion detection
Gómez, J
Dasgupta, D
Nasraoui, O
Gonzalez, F
2002 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY PROCEEDINGS, 2002, : 469 - 474
[50] FranksTree: A genetic programming approach to evolve derived bracketed L-systems
Bonfim, DM
de Castro, LN
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS, 2005, 3610 : 1275 - 1278

← 1 2 3 4 5 →