Particle Swarm Optimization for Reconfigurable Sensor Electronics - Case Study: 3 Bit Flash ADC

Tawdross, Peter

doi:10.1109/wises.2006.237159

Cited by 2 publications

(2 citation statements)

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“…PSO is used for dynamic reconfiguration of fieldprogrammable analog circuits [14]. PSO is also utilized for reconfigurable sensor electronics in [15]. Low-power and low-voltage analog circuits have been designed using Hierarchical particle swarm optimization (HPSO) [16].…”

Section: Introductionmentioning

confidence: 99%

Soft computing‐based approach for optimal design of on‐chip comparator and folded‐cascode op‐amp using colliding bodies optimization

Kar

Mandal

et al. 2016

Int J Numerical Modelling

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This paper presents an efficient approach for the optimal designs of two analog circuits, namely complementary metal oxide semiconductor) two-stage comparator with p-channel metal oxide semiconductor input driver and n-channel input and folded-cascode operational amplifier using a recently proposed meta-heuristic-based optimization algorithm named as colliding bodies optimization (CBO). It is a multi-agent algorithm that does not depend upon any internal control parameter, making the algorithm extremely simple. The main objective of this paper is to optimize the metal oxide semiconductor (MOS) transistors' sizes using CBO in order to reduce the areas occupied by the circuits and to get better performance parameters of the circuits. Simulation Program with Integrated Circuit Emphasis simulation has been carried out by using the optimal values of MOS transistors' sizes and other design parameters to validate that CBO-based design is satisfying the desired specifications. Simulation results demonstrate that the design specifications are closely met and the required functionalities are achieved. The simulation results also confirm that the CBO-based approach is superior to the other algorithms in terms of MOS area and performance parameters like gain, power dissipation, etc., for the examples considered.For CBO, number of colliding bodies (CBs) is taken as 10 and dimensions of each CB is defined as X Comparator = [SR, A vd , V IC(min) , V IC(max) ]. So, the dimension of the optimization problem is 4. 878 B. P. DE ET AL.

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Section: Introductionmentioning

confidence: 99%

Soft computing‐based approach for optimal design of on‐chip comparator and folded‐cascode op‐amp using colliding bodies optimization

Kar

Mandal

et al. 2016

Int J Numerical Modelling

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show abstract

“…For this purpose an operational amplifier with particular design constraints is designed using PSO taking into different external influences such as high temperature and fabrication faults. Having successful results authors extended their PSO based dynamic hardware design environment to functional block level [9]. A 3-bit ADC structure is developed using previously designed op-amps and resistors.…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization based inverter design considering transient performance

Vural

Der

Yıldırım

2010

Digital Signal Processing

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Particle Swarm Optimization for Reconfigurable Sensor Electronics - Case Study: 3 Bit Flash ADC

Cited by 2 publications

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Soft computing‐based approach for optimal design of on‐chip comparator and folded‐cascode op‐amp using colliding bodies optimization

Soft computing‐based approach for optimal design of on‐chip comparator and folded‐cascode op‐amp using colliding bodies optimization

Particle swarm optimization based inverter design considering transient performance

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