Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic micro programming of neural networks
Advances in genetic programming
An introduction to genetic algorithms
An introduction to genetic algorithms
The algorithmic beauty of plants
The algorithmic beauty of plants
What can we do about the unnecessary diversity of notation for syntactic definitions?
Communications of the ACM
The use of positional information in the modeling of plants
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Creative evolutionary systems
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Handbook of Formal Languages
Evolutionary Design Systems and Generative Processes
Applied Intelligence
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
MultiCAD-GA: A System for the Design of 3D Forms Based on Genetic Algorithms and Human Evaluation
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Parallel Generation of Maps: Developmental Systems for Cell Layers
Proceedings of the International Workshop on Graph-Grammars and Their Application to Computer Science and Biology
An introduction to parallel map generating systems
Proceedings of the 3rd International Workshop on Graph-Grammars and Their Application to Computer Science
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Creative stimulator: An interface to enhance creativity in pattern design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Preferences and their application in evolutionary multiobjectiveoptimization
IEEE Transactions on Evolutionary Computation
GEVA: grammatical evolution in Java
ACM SIGEVOlution
Shape grammars and grammatical evolution for evolutionary design
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A systems approach to evolutionary multiobjective structural optimization and beyond
IEEE Computational Intelligence Magazine
Interactive ec control of synthesized timbre
Evolutionary Computation
Open issues in genetic programming
Genetic Programming and Evolvable Machines
Combining structural analysis and multi-objective criteria for evolutionary architectural design
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
EMVIZ: the poetics of movement quality visualization
Proceedings of the International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
A local search interface for interactive evolutionary architectural design
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
An evo-devo approach to architectural design
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Graph grammars for evolutionary 3D design
Genetic Programming and Evolvable Machines
Hi-index | 0.00 |
We present an algorithmic growth process that is an extension of Lindenmayer's Map L-systems. This growth process relies upon a set of rewrite rules, a map axiom and a geometric interpreter which is integrated with a 3D simulated environment. The outcome of the growth process is a digital surface in 3D space which has "grown" within and in response to its environment. We have developed a complementary evolutionary algorithm that is able to take over the task of generating the rewrite rules set for a growth process. Using a quantitative multi-objective fitness function that evaluates a variety of surface properties, the integrated system (evolutionary algorithm and growth process) can explore and generate diverse and interesting surfaces with a resemblance of organic form. The algorithms have been implemented to create a design tool for architects called Genr8.