ALIFE Proceedings of the sixth international conference on Artificial life
Cellular Encoding Applied to Neurocontrol
Proceedings of the 6th International Conference on Genetic Algorithms
Modular Genetic Neural Networks for Six-Legged Locomotion
AE '95 Selected Papers from the European conference on Artificial Evolution
A comparison between cellular encoding and direct encoding for genetic neural networks
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Multi-objectivity for brain-behavior evolution of a physically-embodied organism
ICAL 2003 Proceedings of the eighth international conference on Artificial life
A Taxonomy for artificial embryogeny
Artificial Life
Evolutionary Computation - Special issue on magnetic algorithms
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
How artificial ontogenies can retard evolution
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Compositional pattern producing networks: A novel abstraction of development
Genetic Programming and Evolvable Machines
Division blocks and the open-ended evolution of development, form, and behavior
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Genotype reuse more important than genotype size in evolvability of embodied neural networks
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Evolving complete robots with CPPN-NEAT: the utility of recurrent connections
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Outlines of artificial life: a brief history of evolutionary individual based models
EA'05 Proceedings of the 7th international conference on Artificial Evolution
On the relationship between environmental and morphological complexity in evolved robots
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Complex and diverse morphologies can develop from a minimal genomic model
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Co-evolution of morphology and control of soft-bodied multicellular animats
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A hox gene inspired generative approach to evolving robot morphology
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Evolutionary design of soft-bodied animats with decentralized control
Artificial Life and Robotics
| Hi-index | 0.00 |
We analyze the effect of different genetic encodings used for evolving three-dimensional agents with physical morphologies. The complex phenotypes used in such systems often require nontrivial encodings, Different encodings used in Framsticks--a system for evolving three-dimensional agents--are presented. These include a low-level direct mapping and two higher-level encodings: one recurrent and one developmental. Quantitative results are presented from three simple optimization tasks (passive height, active height, and locomotion speed). The low-level encoding produced solutions of lower fitness than the two higher-level encodings under similar conditions. Results from recurrent and developmental encodings had similar fitness values but displayed qualitative differences. Desirable advantages and some drawbacks of more complex encodings are established.