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Journal ArticleDOI

Analog circuit design optimization through the particle swarm optimization technique

TLDR
The practical suitability of PSO to solve both mono-objective and multiobjective discrete optimization problems and the aptness ofPSO to optimize difficult circuit problems, in terms of numbers of parameters and constraints is shown.
Abstract
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.

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Citations
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Journal ArticleDOI

An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits

TL;DR: A weighted expected improvement-based Bayesian optimization approach for automated analog circuit sizing using Gaussian processes as the online surrogate models for circuit performances and extended to handle multi-objective optimization problems.
Journal ArticleDOI

Analog circuit sizing via swarm intelligence

TL;DR: Particle swarm optimization has been utilized for accommodating required functionalities and performance specifications considering optimal sizing of analog integrated circuits with high optimization ability in short computational time in this work.
BookDOI

Technological Innovation for the Internet of Things

TL;DR: The doctoral conference DoCEIS'13 focused on technological innovation for the Internet of Things, challenging the contributors to analyze in which ways their technical and scientific work could contribute to or benefit from this paradigm.
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Proceedings ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

The particle swarm - explosion, stability, and convergence in a multidimensional complex space

TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
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