Principles of digital design
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
The Emergence of Cellular Computing
Computer
Building Complex Systems Using Developmental Process: An Engineering Approach
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Development Brings Scalability to Hardware Evolution
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
How artificial ontogenies can retard evolution
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Evolutionary Design of Arbitrarily Large Sorting Networks Using Development
Genetic Programming and Evolvable Machines
Towards Development on a Silicon-based Cellular Computing Machine
Natural Computing: an international journal
Phenotypic, developmental and computational resources: scaling in artificial development
Proceedings of the 10th annual conference on Genetic and evolutionary computation
VLSI implementations of threshold logic-a comprehensive survey
IEEE Transactions on Neural Networks
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Evolvable hardware (EHW) struggles with a scalability problem. Even when applied to applications that include known scalable solutions it is hard to achieve equivalent scalability in EHW. The aspect of scalability is one of the main promising features of developmental mappings. The possibility to generate large scale structures together with gene regulation opens for a genome size that may not reflect size or complexity of the developed phenotype. The issue of generating structures include similarities to a traditional modular circuit design concept. Scalability in such designs is inherently achieved by expending the modular circuit. In a developmental system such inherent scaling can be achieved by genomes that can develop to circuits of different sizes whilst scaling parameters of the sought functionality. In this work an experimental approach is taken to find genomes that might include inherent scalability. Further, the candidate genomes are investigated to reveal structural and functional scaling properties. The results show the emergence of genomes that can develop to scalable structures with a scalable sequential functionality.