Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Parallel distributed genetic programming
New ideas in optimization
Three generations of automatically designed robots
Artificial Life
Evolving neural networks through augmenting topologies
Evolutionary Computation
Proceedings of the European Conference on Genetic Programming
Proceedings of the 4th International Workshop on Graph-Grammars and Their Application to Computer Science
Engineering shape grammars: where we have been and where we are going
Formal engineering design synthesis
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Creating Breakthrough Products: Innovation from Product Planning to Program Approval
Creating Breakthrough Products: Innovation from Product Planning to Program Approval
Integrating generative growth and evolutionary computation for form exploration
Genetic Programming and Evolvable Machines
Procedural modeling of structurally-sound masonry buildings
ACM SIGGRAPH Asia 2009 papers
Capturing aesthetic intention during interactive evolution
Computer-Aided Design
On the bias and performance of the edge-set encoding
IEEE Transactions on Evolutionary Computation
Computer-automated evolution of an x-band antenna for nasa's space technology 5 mission
Evolutionary Computation
Evolving art with scalable vector graphics
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A novel generative encoding for evolving modular, regular and scalable networks
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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
Defining locality as a problem difficulty measure in genetic programming
Genetic Programming and Evolvable Machines
Scikit-learn: Machine Learning in Python
The Journal of Machine Learning Research
A new, node-focused model for genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Fitness in evolutionary art and music: what has been used and what could be used?
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Investigating aesthetic features to model human preference in evolutionary art
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Graph grammars as a representation for interactive evolutionary 3d design
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
On the Performance of Indirect Encoding Across the Continuum of Regularity
IEEE Transactions on Evolutionary Computation
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A new interactive evolutionary 3D design system is presented. The representation is based on graph grammars, a fascinating and powerful formalism in which nodes and edges are iteratively rewritten by rules analogous to those of context-free grammars and shape grammars. The nodes of the resulting derived graph are labelled with Euclidean coordinates: therefore the graph fully represents a 3D beam design. Results from user-guided runs are presented, demonstrating the flexibility of the representation. Comparison with results using an alternative graph representation demonstrates that the graph grammar search space is more rich in organised designs. A set of numerical features are defined over designs. They are shown to be effective in distinguishing between the designs produced by the two representations, and between designs labelled by users as good or bad. The features allow the definition of a non-interactive fitness function in terms of proximity to target feature vectors. In non-interactive experiments with this fitness function, the graph grammar representation out-performs the alternative graph representation, and evolution out-performs random search.