Evolutionary Design Systems and Generative Processes
Applied Intelligence
A Taxonomy for artificial embryogeny
Artificial Life
Evolutionary Body Building: Adaptive Physical Designs for Robots
Artificial Life
Integrating generative growth and evolutionary computation for form exploration
Genetic Programming and Evolvable Machines
Advanced Engineering Informatics
Evolutionary swarm design of architectural idea models
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Automated discovery and optimization of large irregular tensegrity structures
Computers and Structures
Evolving 3d morphology and behavior by competition
Artificial Life
Evolutionary computation and structural design: A survey of the state-of-the-art
Computers and Structures
Computational evolutionary embryogeny
IEEE Transactions on Evolutionary Computation
Emergent engineering: a radical paradigm shift
International Journal of Autonomous and Adaptive Communications Systems
Hi-index | 0.00 |
We present a developmental genotype-phenotype growth process, or embryogeny, which is used to evolve, in silico, efficient three-dimensional structures that exhibit real-world architectural performance. The embryogeny defines a sequential assembly of architectural components within a three-dimensional volume, and indirectly establishes a regulatory network of components based on the principles of gene regulation. The implicitly regulated phenotypes suggest advances for the automatic design of physical structures, by improving scalability of the genotype encoding and embedding real-world constraints. We demonstrate that our model can evolve novel, yet efficient, architectural structures which exhibit emergent shape, topology and material distribution. Finally, we compare evolved structures against a "hand-coded" solution to illustrate that our model produces competitive results without prior knowledge of the design solution or direct human guidance.