Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs

Tlelo‐Cuautle, Esteban; Duarte-Villaseáor, Miguel A.

doi:10.1007/978-3-540-76286-7_8

Cited by 24 publications

(23 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1 (a) is shown the nullor-based description of a VF consisting of four O elements (O1-O4), each one joined with a P element. As already shown in [1] and [17]: the O-P pairs can be described by a small-signal gene called genSS, the synthesis of each O-P pair can be codified by the gene called genSMos, the addition of biases (V and I) can be codified by the gene called genBias, and the synthesis of current biases by current mirrors (CMs) can be codified Chromosome V F = genSS *genSMos*genBias*genCM (1)…”

Section: Genetic Representation Of the Vfsupporting

confidence: 72%

“…The synthesis of CMOS compatible VFs and CFs has been already presented in [1,16,17,18]. Furthermore, in this section is described the genetic representation of them, in order to perform a sumperimposing operation to synthesize the CCII-, as shown in Sect.…”

Section: Genetic Representation Of Vfs and Cfsmentioning

confidence: 99%

“…That way, using nullators and norators [15], it is possible to describe the behavior of VFs and CFs [1], where for synthesis purposes, a nullator (O) and a norator (P) always must form a joined-pair. The node in the joined terminals of the O-P pair is associated to the source (S) of a MOSFET, the other terminal of the O element is associated to the gate (G), and the other terminal of the P element to the drain (D) [16].…”

Section: Genetic Representation Of Vfs and Cfsmentioning

confidence: 99%

“…1 (b) is shown the nullor-based description of a CF consisting of four P elements (P1-P4), each one joined with an O element. As already shown in [1]: the O-P pairs can be described by a small-signal gene called genSS, the synthesis of each O-P pair can be codified by the gene called genSMos, the addition of current biases is done as for the VF and codified by genBias. However, since the input and output signals in the CF are currents, and since they are injected or measured at the D or S terminals of the MOSFETs, then each G of each MOSFET must be biased with a voltage-bias source which can be positive or negative.…”

Section: Genetic Representation Of the Cfmentioning

confidence: 99%

“…Evolutionary electronics is a research area which involves the application of evolutionary algorithms [1,2,3,4,5,6,7]. Basically, evolutionary computation is inspired by Darwinian evolutionary theory which is oriented to recreate biological phenomena by using computers and other artificial systems.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Synthesis of CCII-s by superimposing VFs and CFs through genetic operations

Tlelo‐Cuautle

Moro-Frías

Sánchez–López

et al. 2008

IEICE Electron. Express

Self Cite

View full text Add to dashboard Cite

Abstract:It is introduced a new genetic algorithm to synthesize the negative-type second generation current conveyor (CCII-) by superimposing a voltage follower (VF) with a current follower (CF). First, the VF and CF are described by binary genes. Second, the gene CF is inverted, rigth-shifted and multiplied (AND operation) with the gene VF to verify that both genes can be superimposed to synthesize the CCII-. Finally, some synthesized CCII-s are presented which electrical characteristics are measured using HSPICE and standard CMOS technology of 0.35 µm. Keywords: evolutionary electronics, circuit synthesis, current conveyor, nullor Classification: Integrated circuits References[1] E. Tlelo-Cuautle and M. A. Duarte-Villaseñor, Evolutionary electronics: automatic synthesis of analog circuits by GAs.

show abstract

Section: Genetic Representation Of the Vfsupporting

confidence: 72%

Section: Genetic Representation Of Vfs and Cfsmentioning

confidence: 99%

Section: Genetic Representation Of Vfs and Cfsmentioning

confidence: 99%

Section: Genetic Representation Of the Cfmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Synthesis of CCII-s by superimposing VFs and CFs through genetic operations

Tlelo‐Cuautle

Moro-Frías

Sánchez–López

et al. 2008

IEICE Electron. Express

Self Cite

View full text Add to dashboard Cite

show abstract

Symbolic analysis of (MO)(I)CCI(II)(III)‐based analog circuits

Tlelo‐Cuautle

Sánchez–López

Moro-Frías

2010

Circuit Theory & Apps

View full text Add to dashboard Cite

SUMMARYNew nullor-based models are introduced to describe the behavior of the first generation current conveyor (CCI), second generation current conveyor (CCII), third generation current conveyor (CCIII), their inverting equivalents (ICCI(II)(III)), and/or their multiple output topologies (MO(I)CCI(II)(III)). These nullor equivalents include only grounded resistors to improve the formulation of equations in symbolic nodal analysis. In this manner, it is highlighted the usefulness of the proposed models to calculate analytical expressions in MO(I)CCI(II)(III)-based analog circuits.

show abstract

Optimal sizing and design of CMOS analogue amplifier circuits using craziness‐based particle swarm optimization

Mallick

Kar

Ghoshal

et al. 2016

Int J Numerical Modelling

View full text Add to dashboard Cite

This paper presents the optimal designs of two analogue complementary metal-oxide-semiconductor (CMOS) amplifier circuits, namely differential amplifier with current mirror load and two-stage operational amplifier. A modified Particle Swarm Optimization (PSO), called Craziness-based Particle Swarm Optimization (CRPSO) technique is applied to minimize the total MOS area of the designed circuits. CRPSO is a highly modified version of conventional PSO, which adopts a number of random variables and has a better and faster exploration and exploitation capability in the multidimensional search space. Integration of craziness factor in the fundamental velocity term of PSO not only brings diversity in particles but also pledges convergence close to global best solution. The proposed CRPSO-based circuit optimization technique is reassured to be free from the intrinsic disadvantages of premature convergence and stagnation, unlike Differential Evolution (DE), Harmony Search (HS), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The simulation results achieved for the two analogue CMOS amplifier circuits establish the efficacy of the proposed CRPSO-based approach over those of DE, HS, ABC and PSO in terms of convergence haste, design conditions and design goals. The optimally designed analogue CMOS amplifier circuits occupy the least MOS area and show the best performance parameters like gain and power dissipation, in compared with the other reported literature.

show abstract

Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs

Cited by 24 publications

References 28 publications

Synthesis of CCII-s by superimposing VFs and CFs through genetic operations

Synthesis of CCII-s by superimposing VFs and CFs through genetic operations

Symbolic analysis of (MO)(I)CCI(II)(III)‐based analog circuits

Optimal sizing and design of CMOS analogue amplifier circuits using craziness‐based particle swarm optimization

Contact Info

Product

Resources

About