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Book ChapterDOI

Design Automation, Modeling, Optimization, and Testing of Analog/RF Circuits and Systems by Particle Swarm Optimization

TLDR
This chapter is an overview of the applications of particle swarm optimization for circuits and systems and is targeted for the Analog/RF circuit and systems designers.
Abstract
This chapter is an overview of the applications of particle swarm optimization for circuits and systems. The chapter is targeted for the Analog/RF circuits and systems designers. Design automation, modeling, optimization and testing of analog/RF circuits using particle swarm optimization is presented. Various applications of particle swarm optimization for circuits and systems are explained by examples.

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Citations
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Journal ArticleDOI

Application of swarm intelligence techniques to the design of analog circuits: evaluation and comparison

TL;DR: The paper argues and shows that SI techniques and particularly the particle swarm optimization technique is a priori the most adequate metaheuristic to use in the field of analog circuit sizing.
BookDOI

Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design

TL;DR: This book explains the application of recent advances in computational intelligence algorithms, design methodologies, and synthesis techniques to the design of integrated circuits and systems and highlights new biasing and sizing approaches and optimization techniques.
Journal ArticleDOI

Performance optimization of CMOS second generation current conveyors using a multi-swarm algorithm

TL;DR: The paper shows that PSO-2S achieves better results than three other well-known optimization techniques, namely bacterial foraging optimization technique (BFO), PSO and differential evolution (DE).
Book ChapterDOI

The Backtracking Search for the Optimal Design of Low-Noise Amplifiers

TL;DR: This chapter deals with the application of BSA to the optimal design of RF circuits, namely low-noise amplifiers, and its performance is checked against the widely used particle swarm optimization technique, and other published approaches.
Journal ArticleDOI

Path Relinking with Multi-Start Tabu Search for the Quadratic Assignment Problem

TL;DR: This analysis lays a foundation for developing more effective future QAP algorithms, both for methods based on path relinking and tabu search, and for hybrids of such methods with related processes found in particle swarm optimization.
References
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Journal ArticleDOI

A hierarchical particle swarm optimizer and its adaptive variant

TL;DR: A hierarchical version of the particle swarm optimization (PSO) metaheuristic, in which the shape of the hierarchy is dynamically adapted during the execution of the algorithm, is introduced.
Journal ArticleDOI

Analog circuit design optimization through the particle swarm optimization technique

TL;DR: 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.
Journal ArticleDOI

Parasitic-aware RF circuit design and optimization

TL;DR: RF circuit synthesis techniques based on particle swarm optimization and adaptive simulated annealing with tunneling are described, and comparisons of parasitic-aware designs of an RF distributed amplifier and a nonlinear power amplifier are presented.
Proceedings ArticleDOI

Low-Power Low-Voltage Analog Circuit Design Using Hierarchical Particle Swarm Optimization

TL;DR: This paper presents application and effectiveness of Hierarchical particle swarm optimization (HPSO) algorithm for automatic sizing of low-power analog circuits and shows that HPSO algorithm converges to a better solution, compared to PSO and GA.
Journal ArticleDOI

A Novel Table-Based Approach for Design of FinFET Circuits

TL;DR: A new lookup-table (LUT) approach, based on normalization of the drain current with an I D-V G template, is proposed for simulation of MOS transistor circuits, which is implemented in a circuit simulator and integrated, for the first time, with an optimizer to enable efficient design of circuits.