Simulation-based multi-objective optimization of current conveyors: Performance evaluations

Sallem, Amin; Benhala, Bachir; Kotti, Mouna; Fakhfakh, Mourad; Ahaitouf, Ali; Loulou, Mourad

doi:10.1109/dtis.2012.6232948

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…It extracts the parameters of the circuits to be optimized/sized which correspond to the results of the performed simulation. This approach is seen as very flexible in comparison to other approaches (knowledgebased, equation-based) since it adapts to any circuit topology and offers higher accuracy (depending on the simulator models) [11][12][13]. As long as the objective functions are adapted, the circuit design can be optimized multiple times for various specifications.…”

Section: Simulation-based Methods To Analog Circuits Designmentioning

confidence: 99%

Simulation-Based Optimization for Automated Design of Analog/RF Circuits

Lberni

Sallem

Marktani

et al. 2021

Lecture Notes in Electrical Engineering

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Automation tools for circuit optimization have proven their usefulness in solving design issues by considering the technological aspects of downscaling. Recent advances have proven that the optimization method based on simulation is a powerful and important solution for the optimal sizing of electronic circuits. In this paper, we propose a simulation-based methodology for automatic optimization of the multi-objective design of an analog/RF circuit. As applications, we use both analog and RF circuits, respectively the LC tank Voltage Controlled Oscillator (VCO) and the new Current-Feedback Operational Amplifier (CFOA). For the LC-VCO, we optimize the power consumption and the phase noise. For the CFOA, we optimize its important performances such as bandwidth and parasitic resistances, for lowvoltage, low-power applications. All simulations are performed by HSPICE using 0.13 μm RF CMOS and 0.18 μm CMOS technologies for the LC-VCO and the CFOA, respectively.

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Section: Simulation-based Methods To Analog Circuits Designmentioning

confidence: 99%

Simulation-Based Optimization for Automated Design of Analog/RF Circuits

Lberni

Sallem

Marktani

et al. 2021

Lecture Notes in Electrical Engineering

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“…Figure 2 shows the corresponding algorithm flowchart. Further details regarding MOHA can be found in [17]. …”

Section: Fig 1 the Simulation-based Sizing/optimizing Technique [14]mentioning

confidence: 99%

“…In this work, we use a multi-objective metaheuristic called MOHA [17]. This algorithm is based on a communication tool between HSPICE/RF and C++ software.…”

Section: Fig 1 the Simulation-based Sizing/optimizing Technique [14]mentioning

confidence: 99%

“…In order to deal with multi-objective problems, an external archive was added to the optimization routine [17] where non-dominated solutions are stored and updated at each iteration. A dominance sorting routine [18] was integrated into the optimization program.…”

Section: Fig 1 the Simulation-based Sizing/optimizing Technique [14]mentioning

confidence: 99%

“…In this work we use a multi-objective metaheuristic, called Multi-Objective Heuristic Algorithm (MOHA) [17].…”

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confidence: 99%

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A Multi-objective Simulation Based Tool: Application to the Design of High Performance LC-VCOs

Sallem¹,

Pereira²,

Fakhfakh³

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. The continuing size reduction of electronic devices imposes design challenges to optimize the performances of modern electronic systems, such as: wireless services, telecom and mobile computing. Fortunately, those design challenges can be overcome thanks to the development of Electronic Design Automation (EDA) tools. In the analog, mixed signal and radio-frequency (AMS/RF) domains, circuit optimization tools have demonstrated their usefulness in addressing design problems taking into account downscaling technological aspects. Recent advances in EDA have shown that the simulationbased sizing technique is a very interesting solution to the 'complex' modelling task in the circuit design optimization problem. In this paper we propose a multi-objective simulation-based optimization tool. A CMOS LC-VCO circuit is presented to show the viability of this tool. The tool is used to generate the Pareto front linking two conflicting objectives, namely the VCO Phase Noise and Power Consumption. The accuracy of the results is checked against HSPICE/RF simulations.

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