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Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolving Cellular Automata for Self-Testing Hardware
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Proceedings of the European Conference on Genetic Programming
Towards Development in Evolvable Hardware
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Bridging The Genotype-Phenotype Mapping For Digital Fpgas
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Providing information from the environment for growing electronic circuits through polymorphic gates
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Towards Development on a Silicon-based Cellular Computing Machine
Natural Computing: an international journal
Gate-Level Evolutionary Development Using Cellular Automata
AHS '08 Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems
A developmental method for growing graphs and circuits
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Evolutionary design of gate-level polymorphic digital circuits
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Explorations in design space: unconventional electronics designthrough artificial evolution
IEEE Transactions on Evolutionary Computation
Long-term evolutionary dynamics in heterogeneous cellular automata
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Cellular automata-based evolutionary development is presented for the design of single-function and polymorphic (two-function) combinational circuits. The impact of evolution of the cellular automaton initial state on the success rate of the evolved solutions is investigated. The experiments show that it is more suitable to fix a proper initial state in order to increase the successfulness and speed of evolution. The proposed developmental model is capable to design a wide range of both single-function and polymorphic circuits.