GA automated design and synthesis of analog circuits with practical constraints

Goh, Cindy; Li, Yun

doi:10.1109/cec.2001.934386

Cited by 73 publications

(53 citation statements)

References 5 publications

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“…In our case of "LC" low pass filter there are 3 such kind of elements: AC voltage source, source resistance and load resistance. We define the embryo circuit similar to the most popular case [2], [3], [5]- [7], [11], [17] where the circuit is driven by an incoming AC voltage source with a 2 V amplitude, has the source resistance R source =1 kΩ and the load resistance R load =1 kΩ (Fig. 2).…”

Section: General Structure Of a Systemmentioning

confidence: 99%

“…The circuit growth methodology is very simple and is similar to one reported in [5], [17]: adding one gene to each chromosome at the same time.…”

Section: General Structure Of a Systemmentioning

confidence: 99%

“…The circuits evolved may have unconventional designs and less of all depend on personal knowledge of a designer [2]- [11]. For instance, using simulation software, low-pass filters [2]- [7] and amplifiers [3]- [5] are successfully designed with the help of evolutionary algorithm. In [15] the unconstrained evolution, both spatially and temporally, has been applied intrinsically towards the digital FPGA-based reconfigurable hardware.…”

Section: Introductionmentioning

confidence: 99%

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On Comparison of Constrained and Unconstrained Evolutions in Analogue Electronics on the Example of "LC" Low-Pass Filters

Sapargaliyev¹,

Kalganova²

2006

IEICE Transactions on Electronics

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SUMMARYThe Evolutionary Electronics refers to the design method of electronic circuits with the help of Evolutionary Algorithms. Over the years huge experience has been accumulated and tremendous results have been achieved in this field. Two obvious tendencies are prevailing in the area over designers to improve the performance of Evolutionary Algorithms. First of all, as with any solution-search-algorithm, the designers try to reduce the potential solution space in order to reach the optimum solution faster, putting some constrains onto search algorithm as well as onto potential solutions. At the same time, the second tendency of unconstraining the Evolutionary Algorithms in its search gives unpredictable breakthroughs in results. Enabling the evolution to optimize with more experimental parameters devoted to drive the evolution and adjusted previously manually, is one of an example where such kind of unconstraining takes place. The evolution with the maximum freedom of search can be addressed as unconstrained evolution. The unconstrained evolution has already been applied in the past towards the design of digital circuits, and extraordinary results have been obtained, including generation of circuits with smaller number of electronic components. Recently, the similar method has been introduced by authors of this paper towards the design of analogue circuits. The new algorithm has produced promising results in terms of quality of the circuits evolved and evolutionary resources required. It differed from constrained method by its simplicity and represented one of the first attempts to apply Evolutionary Strategy towards the analogue circuit design. In this paper both conventional constrained evolution and newly developed unconstrained evolution in analogue domain are compared in detail on the example of "LC" low-pass filter design. The unconstrained evolution demonstrates the superior behaviour over the constrained one and exceeds by quality of results the best filter evolved previously by 240%. The experimental results are presented along with detailed analysis. Also, the obtained results are compared in details with low-pass filters designed previously. key words: evolutionary electronics, unconstrained evolution, analogue passive low-pass filter

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Section: General Structure Of a Systemmentioning

confidence: 99%

“…The circuit growth methodology is very simple and is similar to one reported in [5], [17]: adding one gene to each chromosome at the same time.…”

Section: General Structure Of a Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Comparison of Constrained and Unconstrained Evolutions in Analogue Electronics on the Example of "LC" Low-Pass Filters

Sapargaliyev¹,

Kalganova²

2006

IEICE Transactions on Electronics

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“…The last one crucially important for successful results. In [1], [2], [4], shows how close the current hardware structure by its [7], [8] the freedom of search is emphasized, but has not behavioral and circuit characteristics to the required one. been realized completely.…”

mentioning

confidence: 99%

“…low-pass filters [1]- [6] and amplifiers [2]- [4], [7] are succeassfullytdersignedwIt the heplpofie EA.In [71] the Last one let them to get as results filters with regular suncostrailydened evolution th spatiaell and tEmporally, tha structures within the circuit. They utilized a procedure unconstrained evolution, both spatially and temporally, has…”

mentioning

confidence: 99%

Unconstrained Evolution of Close-to-ideal " LCR" Low-pass filter

Sapargaliyev

Kalganova

2006 International Conference on Intelligent Engineering Systems

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-The unconstrained evolution has already been conventional design does. Once fully unconstraining the applied in the past towards design of digital circuits, and design methodology rules, the natural behavior of analogue extraordinary results have been obtained, including elements started to be exploited inside a circuit [11].generation of more compact circuits with smaller number of electronic components. In this paper the unconstrainedIn analogypto towhis approach, the unconstrained evolution evolution method is developed for analogue circuits. At first, could be applied towards the originally analogue circuits. In the method is probed on the design of analogue low-pass filter this sense, the range of circuit-structure-checking rules at with standard transition band. The algorithm produced the the netlist composition stage, prohibiting the invalid circuit best results in terms of quality of the circuits evolved and graphs, are regarded as the main constraints for the design evolutionary resources required. Then, the new methodology methodology. In this paper, we consider unconstrained is applied towards more sophisticated task, the close-to-ideal extrinsic evolution for analogue "LCR" circuit design of produces much better results that previously achieved. Then, the new developed method is applied towards more sophisticated task, the design of low-pass filter with 0.4kHz

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Circuit Optimization Using a Generalized Modification of the Genetic Algorithm

Zemliak

2023

IEEJ Transactions Elec Engng

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The solution to the problem of circuit optimization is obtained on the basis of a combination of a genetic algorithm (GA) and the idea of generalized optimization, developed earlier for the deterministic case. It is shown that such a GA modification allows one to overcome premature convergence to local minima and to increase the minimization accuracy by several orders of magnitude. In this case, GA forms a set of populations determined by the fitness function, given in different way, depending on the strategy chosen within the framework of the idea of generalized optimization. The way of setting fitness functions as well as the length and structure of chromosomes, are determined by a control vector artificially introduced within the framework of generalized optimization. This vector determines the number of independent variables of the optimization problem and the method for calculating the fitness function. It allows you to build compound strategies that significantly increase the accuracy of the resulting solution. This, in turn, makes it possible to reduce the number of generations required during the operation of the GA and minimize the processor time for solving the problem of circuit optimization. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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GA automated design and synthesis of analog circuits with practical constraints

Cited by 73 publications

References 5 publications

On Comparison of Constrained and Unconstrained Evolutions in Analogue Electronics on the Example of "LC" Low-Pass Filters

On Comparison of Constrained and Unconstrained Evolutions in Analogue Electronics on the Example of "LC" Low-Pass Filters

Unconstrained Evolution of Close-to-ideal " LCR" Low-pass filter

Circuit Optimization Using a Generalized Modification of the Genetic Algorithm

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