How learning can guide evolution
Adaptive individuals in evolving populations
Computational embryology: past, present and future
Advances in evolutionary computing
On the Robustness Achievable with Stochastic Development Processes
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
An evolvability-enhanced artificial embryogeny for generating network structures
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Discovery and Investigation of Inherent Scalability in Developmental Genomes
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Learning General Solutions through Multiple Evaluations during Development
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Evolutionary and embryogenic approaches to autonomic systems
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
A survey of evolutionary and embryogenic approaches to autonomic networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
Heterochronic scaling of developmental durations in evolved soft robots
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Recently there has been much interest in the role of indirect genetic encodings; as a means to achieve increased evolvability. From this perspective, artificial ontogenies have largely been seen as a vehicle to relate the indirect encodings to complex phenotypes. However, the introduction of a development phase does not come without other consequences. We show that the conjunction of the latent ontogenic structure and the common practice of only evaluating the final phenotype obtained from development can have a net retarding effect on evolution. Using a formal model of development, we show that this effect arises primarily due to the relation between the ontogenic structure to the fitness function, which in turn impacts the properties being evaluated and selected for during evolution. This effect is empirically demonstrated with a toy search problem using LOGO-turtle based embryogenic processes.