Optimal selection of components value for analog active filter design using simplex particle swarm optimization
@article{De2015OptimalSO, title={Optimal selection of components value for analog active filter design using simplex particle swarm optimization}, author={Bishnu Prasad De and Rajib Kar and Durbadal Mandal and Sakti Prasad Ghoshal}, journal={International Journal of Machine Learning and Cybernetics}, year={2015}, volume={6}, pages={621-636} }
The simplex particle swarm optimization (Simplex-PSO) is a swarm intelligent based evolutionary computation method. Simplex-PSO is the hybridization of Nedler–Mead simplex method and particle swarm optimization (PSO) without the velocity term. The Simplex-PSO has fast optimizing capability and high computational precision for high-dimensionality functions. In this paper, Simplex-PSO is employed for selection of optimal discrete component values such as resistors and capacitors for fourth order…
28 Citations
Vortex search algorithm for the analog active filter component selection problem
- Computer Science
- 2015
Optimal design of low power three-stage CMOS operational amplifier using Simplex-PSO algorithm
- Computer Science2016 IEEE Region 10 Conference (TENCON)
- 2016
The results obtained using simplex-PSO proves that the performance is better than the previously reported techniques for MOS area, gain, power dissipation etc.
An evolutionary approach based design automation of low power CMOS Two-Stage Comparator and Folded Cascode OTA
- Computer Science
- 2016
Analog active filter design using a multi objective genetic algorithm
- Computer ScienceAEU - International Journal of Electronics and Communications
- 2018
Analog Filter Group Delay Optimization using Metaheuristic Algorithms: A Comparative Study
- Computer Science2018 International Conference on Artificial Intelligence and Data Processing (IDAP)
- 2018
Four different metaheuristic algorithms, namely backtracking search, grey wolf optimizer, lightning search and multi-verse optimizer algorithms, have been applied for optimization of the analog filter group delay to determine the optimal parameters of the optimized filters.
Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm.
- Computer Science, EngineeringThe Review of scientific instruments
- 2018
The hybrid meta-heuristics optimization technique, namely, the salp swarm algorithm (SSA), is applied to the optimal sizing of a CMOS differential amplifier and the comparator circuit.
The design of multiple feedback topology Chebyshev low-pass active filter with average differential evolution algorithm
- Computer ScienceNeural Computing and Applications
- 2020
This study presents the design of a tenth-order multiple feedback Chebyshev low-pass filter (MF-C-LPF), which was optimized for both continuous and discrete values using four different metaheuristic algorithms.
Genetic algorithms applied to the design of robust biquadratic filters
- Computer ScienceInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields
- 2018
A design methodology for discrete active RC biquadratic filters based on genetic algorithm (GA) that overcomes the problem of low gain values observed in some of the solutions given by other authors and is well suited for the design of active filters.
STINGLESS BEE ALGORITHM FOR NUMERICAL OPTIMIZATION PROBLEMS
- Computer Science
- 2020
The stingless bee algorithm (SBA) is considered to enrich swarm intelligence algorithm varieties from bee colonies, to explore the distinct foraging behaviors of stingless bees into search-based algorithm, and to know the capability of the SBA in numerical optimization problems.
The estimation of low and high-pass active filter parameters with opposite charged system search algorithm
- EngineeringExpert Syst. Appl.
- 2020
References
SHOWING 1-10 OF 29 REFERENCES
A novel particle swarm optimizer without velocity: Simplex-PSO
- Computer Science
- 2010
It is confirmed that simplex-PSO-t can optimize high-dimension functions with 200-dimensionality and compared PSO with chaos PSO (CPSO), the best optimum index increases by a factor of 1×102–1×104.
Analog circuit design optimization through the particle swarm optimization technique
- Computer Science
- 2010
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.
Performance Evaluation of Evolutionary Algorithms for Optimal Filter Design
- Computer ScienceIEEE Transactions on Evolutionary Computation
- 2012
The performances of genetic algorithm, artificial bee colony optimization, and particle swarm optimization, which are nature-inspired EA techniques, are evaluated for active filter design.
A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design
- Computer ScienceEURASIP J. Adv. Signal Process.
- 2009
Experimental results on three examples show that QPSO and MuQPSO are superior to genetic algorithm (GA), differential evolution (DE) algorithm, and PSO algorithm in quality, convergence speed, and robustness.
Particle swarm optimization with quantum infusion for system identification
- Computer ScienceEng. Appl. Artif. Intell.
- 2010
An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for IIR Digital Filter
- Computer Science, Engineering2009 International Conference on Artificial Intelligence and Computational Intelligence
- 2009
The novel algorithm was well used in designing adaptive IIR digital filter about unknown system identification, and simulation results shown that the filter had more enhanced performance characteristics using the AIW-PSO algorithm and the complexity in calculation were improved greatly.
Component value selection for active filters using parallel tabu search algorithm
- Computer Science
- 2006
A novel particle swarm optimization approach for product design and manufacturing
- Computer Science
- 2008
The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas.
Optimal Components Selection for Analog Active Filters Using Clonal Selection Algorithms
- Computer ScienceICIC
- 2007
Clonal Selection Algorithms is applied into searching optimal components for 4th order Butterworth filter design and results demonstrate that the proposed method is much superior to the conventional means.
A Simpler and More Effective Particle Swarm Optimization Algorithm
- Computer Science
- 2007
Three algorithms, based on the simple evolutionary equations and the extrenum disturbed arithmetic operators, are proposed to overcome the demerits of the bPSO and improve the practicality of the particle swarm optimization.