Proceedings ArticleDOI
Optimization of Analog RF Circuit parameters using randomness in particle swarm optimization
Sudheer Kamisetty,Jyoti Garg,Jai Narayan Tripathi,Jayanta Mukherjee +3 more
- pp 274-278
TLDR
Stochastic convergence analysis of particle swarm optimization algorithm involving randomness and applying the results to the Analog RF Circuits to optimize the circuit parameters shows that the randomness in defining new position to particle leads to better convergence property.Abstract:
This paper presents stochastic convergence analysis of particle swarm optimization algorithm involving randomness and applying the results to the Analog RF Circuits to optimize the circuit parameters. In every iteration, each particle position is represented as vector and the standard particle swarm algorithm determined by positive real tipple {w,c 1 ,c 2 }. Comparisons for convergence are presented with respect to fixed tipple {w,c 1 ,c 2 } and random tipple {w,c 1 ,c 2 }. Various results show that the randomness in defining new position to particle leads to better convergence property. Also, exploration and exploitation trade off are discussed with examples. It is demonstrated that each particle undergoes both exploration and exploitation in convergence process; if the randomness in the particle generation is considered. The parameters considered for RF circuit are cutoff frequency, Phase Noise and Signal to Noise Ratio (SNR). Results are compared between both fixed values and random values of parameters in convergence analysis of PSO.read more
Citations
More filters
Journal ArticleDOI
An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network
Ming Li,Wenqiang Du,Fuzhong Nian +2 more
TL;DR: An adaptive particle swarm optimization algorithm based on directed weighted complex network (DWCNPSO) is proposed that can effectively avoid the premature convergence problem and the convergence rate is faster.
Journal ArticleDOI
Analyzing Convergence and Rates of Convergence of Particle Swarm Optimization Algorithms Using Stochastic Approximation Methods
Quan Yuan,George Yin +1 more
TL;DR: A general form of PSO algorithms is considered, and asymptotic properties of the algorithms using stochastic approximation methods are analyzed, proving that a suitably scaled sequence of swarms converge to the solution of an ordinary differential equation.
Journal ArticleDOI
FUZYE: A Fuzzy ${c}$ -Means Analog IC Yield Optimization Using Evolutionary-Based Algorithms
Antonio Canelas,Ricardo Povoa,Ricardo Martins,Nuno Lourenço,Jorge Guilherme,João Carvalho,Nuno Horta +6 more
TL;DR: It is shown that the yield for the rest of the population can be estimated based on the membership degree of FCM and RIs yield values alone, and this new method was applied on two real circuit-sizing optimization problems and the obtained results were compared to the exhaustive approach.
Journal ArticleDOI
Analyzing Convergence and Rates of Convergence of Particle Swarm Optimization Algorithms Using Stochastic Approximation Methods
Quan Yuan,George Yin +1 more
TL;DR: In this paper, the authors consider a general form of PSO algorithms, and analyze asymptotic properties of the algorithms using stochastic approximation methods, and prove that a suitably scaled sequence of swarms converge to the solution of an ordinary differential equation.
Proceedings ArticleDOI
Enhanced analog and RF IC sizing methodology using PCA and NSGA-II optimization kernel
TL;DR: An innovative combination of principal component analysis (PCA) and evolutionary computation is used to increase the optimizer's efficiency, reaching wider solutions sets, and in some cases, solutions sets that can be almost 3 times better in terms of hypervolume.
References
More filters
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
Time-varying PSO -- convergence analysis, convergence-related parameterization and new parameter adjustment schemes
Milan R. Rapaić,Željko Kanović +1 more
TL;DR: A new convergence-related parametric model for the conventional PSO is introduced, and several new schemes for parameter adjustment, providing significant performance benefits, are introduced.