Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
DARWIN: CMOS opamp synthesis by means of a genetic algorithm
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
The sizing rules method for analog integrated circuit design
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Computer-Aided Design of Analog Integrated Circuits and Systems
Computer-Aided Design of Analog Integrated Circuits and Systems
ALPS: the age-layered population structure for reducing the problem of premature convergence
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Analog Design Essentials (The International Series in Engineering and Computer Science)
Analog Design Essentials (The International Series in Engineering and Computer Science)
Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies
Proceedings of the 44th annual Design Automation Conference
Topology synthesis of analog circuits based on adaptively generated building blocks
Proceedings of the 45th annual Design Automation Conference
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A synthesis system for analog circuits based on evolutionary search and topological reuse
IEEE Transactions on Evolutionary Computation
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
IEEE Transactions on Evolutionary Computation
The invention of CMOS amplifiers using genetic programming and current-flow analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
WATSON: design space boundary exploration and model generation for analog and RFIC design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Integer programming based topology selection of cell-level analog circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A geometric programming aided knowledge based approach for analog circuit synthesis and sizing
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
Comprehensive Survey of the Hybrid Evolutionary Algorithms
International Journal of Applied Evolutionary Computation
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This paper demonstrates a system that performs multi-objective sizing across 100,000 analog circuit topologies simultaneously, with SPICE accuracy. It builds on a previous system, MOJITO, which searches through 3500 topologies defined by a hierarchically-organized set of 30 analog blocks. This paper improves MOJITO's results quality via three key extensions. First, it enlarges the block library to enable symmetrical transconductance amplifiers and more. Second, it improves initial topology diversity via optimization-based constraint satisfaction. Third, it maintains topology diversity during search via a novel multi-objective selection mechanism, dubbed TAPAS. MOJITO+TAPAS is demonstrated on a problem with 6 objectives, returning a tradeoff holding 17438 nondominated designs. The tradeoff is comprised of 152 unique topologies that include the newly-introduced topologies. 59 designs across 12 topologies designs outperform an expert-designed reference circuit.