Global design of analog cells using statistical optimization techniques
Analog Integrated Circuits and Signal Processing - Special issue on analog signal processing
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ACM Transactions on Mathematical Software (TOMS)
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Symbolic Analysis for Automated Design of Analog Integrated Circuits
Symbolic Analysis for Automated Design of Analog Integrated Circuits
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The sizing rules method for analog integrated circuit design
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
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An effective use of crowding distance in multiobjective particle swarm optimization
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Analog Integrated Circuits and Signal Processing
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Analog Integrated Circuits and Signal Processing
Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
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A novel Alienor-based heuristic for the optimal design of analog circuits
Microelectronics Journal
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Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Analog design synthesis method using simulated annealing and particle swarm optimization
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Swarm intelligence: making differences in analogue circuits structure for fault-tolerance
International Journal of Computer Applications in Technology
Analog Integrated Circuits and Signal Processing
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This paper details the Particle Swarm Optimization (PSO) technique for the optimal design of analog circuits. It is shown the practical suitability of PSO to solve both mono-objective and multiobjective discrete optimization problems. Two application examples are presented: maximizing the voltage gain of a low noise amplifier for the UMTS standard and computing the Pareto front of a bi-objective problem, maximizing the high current cut off frequency and minimizing the parasitic input resistance of a second generation current conveyor. The aptness of PSO to optimize difficult circuit problems, in terms of numbers of parameters and constraints, is shown.