Representation and Evolution of Lego-Based Assemblies
Abstract
This research presents an approach to the automatic generation of electromechanical engineering designs. Our intent is to apply the Messy Genetic Algorithm optimization techniques to the evolution of assemblies composed of the Lego structures. Each design is represented as a labeled assembly graph. Designs are evaluated based on a set of behavior and structural equations, which we are trying to optimize. Our eventual goal is to introduce a simulation of electromechanical devices into our evaluation functions. The initial populations are generated at random. The design candidates for subsequent generations are produced by user
Cite
Text
Peysakhov et al. "Representation and Evolution of Lego-Based Assemblies." AAAI Conference on Artificial Intelligence, 2000.Markdown
[Peysakhov et al. "Representation and Evolution of Lego-Based Assemblies." AAAI Conference on Artificial Intelligence, 2000.](https://mlanthology.org/aaai/2000/peysakhov2000aaai-representation/)BibTeX
@inproceedings{peysakhov2000aaai-representation,
title = {{Representation and Evolution of Lego-Based Assemblies}},
author = {Peysakhov, Maxim and Galinskaya, Vlada and Regli, William C.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2000},
pages = {1089},
url = {https://mlanthology.org/aaai/2000/peysakhov2000aaai-representation/}
}