Electrical Performance Optimization of Nanoscale Double-Gate MOSFETs Using Multiobjective Genetic Algorithms

Bendib, T.; Djeffal, F.

doi:10.1109/ted.2011.2163820

Cited by 49 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, Multi-objective optimization has been introduced in engineering fields [20][21][22][23][24][25], to investigate complex and nonlinear systems. It is defined a procedure with the goal of finding acceptable values for all objective functions satisfying In MOGA approach, the objective functions are required to be optimized simultaneously and the obtained solutions cannot be directly compared.…”

Section: Moga-based Optimizationmentioning

confidence: 99%

Modeling and Optimization of Avalanche Photodiode Electrical Parameters Using Multiobjective Genetic Algorithm

Bendib

Pancheri

Djeffal

et al. 2015

IAENG Transactions on Engineering Sciences

Self Cite

View full text Add to dashboard Cite

In this work, a multiobjective genetic algorithm (MOGA) is proposed to study and optimize the electrical characteristics of avalanche photodiodes (APDs) for optical sensing applications. Analytical expressions for the temperature-dependent electrical models have been used to estimate breakdown voltage, multiplication gain and noise factor. The effect of temperature and doping concentration on the APD performance has been investigated for hole-and electron-initiated processes. Temperature-dependent models include the temperature variation of impact ionization coefficients, bandgap, intrinsic carrier concentration, dielectric constant and built-in-potential. The models have been used to formulate the objective functions where multiplication gain, its temperature dependence and noise factor are considered simultaneously. The proposed approach is † Work partially supported by the Averroes Erasmus Mundus program funded by the European Commission. IAENG Transactions on Engineering Sciences Downloaded from www.worldscientific.com by NANYANG TECHNOLOGICAL UNIVERSITY on 08/22/15. For personal use only. 416 used to select the doping profile and bias conditions that optimize the APD performance with respect to the considered target parameters. Thus, it can provide useful guidelines to device engineers in handling the different design tradeoffs.

show abstract

Section: Moga-based Optimizationmentioning

confidence: 99%

Modeling and Optimization of Avalanche Photodiode Electrical Parameters Using Multiobjective Genetic Algorithm

Bendib

Pancheri

Djeffal

et al. 2015

IAENG Transactions on Engineering Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…The shading of the grid also contributes to the loss of power. The various contributions of resistance of a photovoltaic cell are shown in figure 8 [12]. The linear grid structure was the simplest and represented the basis of calculation of the most complicated structures.…”

Section: B Optimization Of Geometry Of Patch Antennamentioning

confidence: 99%

Patch Antenna based on a Photovoltaic Cell with a Dual resonance Frequency

Baccouch¹,

Bouchouicha²,

Sakli³

et al. 2016

AEM

View full text Add to dashboard Cite

In the present work, photovoltaic solar cells are used in patch antenna structures. The radiating patch element of a patch antenna was replaced by a solar cell. Direct Current (DC) generation remained the original feature of the solar cell, but additionally it was now able to receive and transmit electromagnetic waves. Here, we used a new patch antenna structure based on a photovoltaic solar cell. It was then used to collect photo-generated current as well as Radio Frequency (RF) transmission. A mathematical model which would serve the minimization of power losses of the cell and therefore the improvement in the conversion efficiency was studied. A simulation allowed analyzing the performance of the antenna, with a silicon material, and testing its parameters such as the reflection coefficient (S11), gain, directivity and radiated power. The performance analysis of the solar cell patch antenna was conducted using Advanced Design System (ADS) software. Simulation results for this antenna showed a dual resonance frequency of 5.77 GHz and of 6.18 GHz with an effective return loss of -38.22dB and a gain of 1.59dBi.

show abstract

“…This method has been applied in many different fields, such as neural networks, expert systems, fuzzy logic control and multi-disorder diagnosis [17]. And GA also has been used for Multi-objective computation, such as [18,19].…”

Section: Genetic Algorithmmentioning

confidence: 99%

Application of BPSO with GA in model-based fault diagnosis of traction substation

Gao

Dai

Liu

et al. 2014

2014 IEEE Congress on Evolutionary Computation (CEC)

View full text Add to dashboard Cite

In this paper, a hybrid evolutionary algorithm based on Binary Particle Swarm Optimization (BPSO) and Genetic Algorithm (GA) is proposed to compute the minimal hitting sets in model-based diagnosis. And a minimal assurance strategy is proposed to ensure that the final output of algorithm is the minimal hitting sets. In addition, the logistic mapping of chaos theory is adopted to avoid the local optimum. The high efficiency of new algorithm is proved through comparing with other algorithms for different problem scales. Additionally, the new algorithm with logistic mapping could improve the realization rate to almost 100% from 96%. At last, the new algorithm is used in the model-based fault diagnosis of traction substation. The results show that the new algorithm makes full use of the advantages of GA and BPSO and finds all the minimal hitting sets in 0.2369s, which largely meet the real-time requirement of fault diagnosis in the traction substation.

show abstract

Electrical Performance Optimization of Nanoscale Double-Gate MOSFETs Using Multiobjective Genetic Algorithms

Cited by 49 publications

References 24 publications

Modeling and Optimization of Avalanche Photodiode Electrical Parameters Using Multiobjective Genetic Algorithm

Modeling and Optimization of Avalanche Photodiode Electrical Parameters Using Multiobjective Genetic Algorithm

Patch Antenna based on a Photovoltaic Cell with a Dual resonance Frequency

Application of BPSO with GA in model-based fault diagnosis of traction substation

Contact Info

Product

Resources

About