Abstract
a methodology to design optimised electronic digital
systems from high abstraction level descriptions. The
methodology uses Genetic Programming in addition to
high-level synthesis tools to automatically improve
design structural quality (area measure). A two-stage,
multiobjective optimization algorithm is used to search
for circuits with the desired functionality subjected
additionally to chip area constraints. Experiment with
a square-root approximation datapath design targeted to
FPGA exemplifies the proposed methodology.
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