Proceedings - ACM IEEE Design Automation Conference · 2007 · 46 citations · 22 references
ArchitectureComputer EngineeringDesign AutomationDesign OptimizationOptimizationDesign Space ExplorationEvolutionary OptimizationMulti-objective OptimizationMultiobjective OptimizationPopulation-based SearchTopology OptimizationAnalog Circuit DesignCircuit OptimizationMulti-objective Evolutionary AlgorithmsMulti-objective Evolutionary ComputationMulti-objective Topology OptimizationMultiobjective Evolutionary AlgorithmsOperational Amplifier CircuitsOperational Amplifier Design
This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide a performance tradeoff. MOJITO defines a space of possible topologies as a hierarchically organized combination of trusted analog building blocks. To minimize the setup burden: no topology selection rules or abstract behaviors need to be specified, and performance calculations are SPICE-based. The search algorithm is a novel multi-objective evolutionary algorithm that uses an age-layered population structure to balance exploration vs. exploitation. Results are shown for a space having 3528 one- and two-stage operational amplifier topologies.
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