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Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Theory and applications of cellular automata for synthesis of easily testable combinational logic
ATS '95 Proceedings of the 4th Asian Test Symposium
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
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
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A non-uniform cellular automata-based model is presented for the evolutionary development of digital circuits at the gate level. The main feature of this model is the modified local transition function of the cellular automaton in which a gate is associated with each rule of the transition function. A logic gate is generated by each cell when the cell determines its next state according to the appropriate rule. An evolutionary algorithm is utilized to design a non-uniform cellular automaton (its local transition function) for the development of a target circuit. In this paper, initial results will be presented that were obtained using the non-uniform cellular automata.