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ICES
1998
Springer

Aspects of Digital Evolution: Geometry and Learning

9 years 3 months ago
Aspects of Digital Evolution: Geometry and Learning
In this paper we present a new chromosome representation for evolving digital circuits. The representation is based very closely on the chip architecture of the Xilinx 6216 FPGA. We examine the effectiveness of evolving circuit functionality by using randomly chosen examples taken from the truth table. We consider the merits of a cell architecture in which functional cells alternate with routing cells and compare this with an architecture in which any cell can implement a function or be merely used for routing signals. It is noteworthy that the presence of elitism significantly improves the Genetic Algorithm performance.
Julian F. Miller, Peter Thomson
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where ICES
Authors Julian F. Miller, Peter Thomson
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