An evolutionary approach to standard cell design automation
Bahuman, Anil Lakshman
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The problem of designing the transistor-level layout of cells in a standard cell library is a multi-objective design optimization problem. Contemporary methods are optimization or compaction engines that rely on a schematic representation supplied by a design engineer. We have demonstrated the possibility of applying a modi.ed genetic algorithm (GADO) to design a cell given only a behavioral description. A working inverter is designed as a proof of concept along with other inverters with arbitrary label placements. This is an example of design without human intervention, i.e. a computer design as opposed to a computer-aided design. The complete set of experimental results may be found at the project web site http://james.cs.uga.edu.