2009 · 19 citations · 10 references
EngineeringComputer EngineeringElectrical EngineeringAnalog ElectronicsMicroelectronicsOptimizationAnalog Integrated CircuitsAnalog IntegrationCmos Circuit DesignEvolutionary ComputationGenetic AlgorithmsIntegrated Circuit DesignAnalog Circuit DesignCircuit OptimizationDifferential EvolutionEvolutionary AlgorithmsMulti-objective Evolutionary AlgorithmsMulti-objective Evolutionary ComputationMultiobjective Evolutionary AlgorithmsSaturation
An optimization system based on two multi-objective evolutionary algorithms NSGA-II and MOEA/D is presented for sizing analog integrated circuits. The proposed system uses HSPICE as circuit evaluator and its usefulness is highlighted by sizing mixed-mode analog circuits composed of unity-gain cells. That way, the circuits are optimized in voltage- and current-mode in three parameters: gain, bandwidth and offset, and by including as constraint that all transistors are in saturation operation. Comparison of performances between NSGA-II and MOEA/D with and without differential evolution (DE) as genetic operator in the optimization of two current conveyors are given by using standard CMOS integrated circuit technology.
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