Comparison of different evolutionary methodologies applied to electronic filter design

Zebulum, R.; Pacheco, Marco Aurélio Cavalcanti; Vellasco, Marley

doi:10.1109/icec.1998.699812

Cited by 43 publications

(50 citation statements)

References 7 publications

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“…The larger computational efforts in a circuit evolution required by GP were proven by Zebulum et al [4] and Ando et al [6], where they have given the comparison between GP and Genetic Algorithm (GA). The first work was made as analogy to biology concept with comparison of performance among different types of sweeping strategies: Increasing Length Genotypes, Oscillating Length Genotypes, and Uniformly Distributed Initial Population.…”

Section: Previous Work On Analogue Filter Evolutionmentioning

confidence: 99%

“…The behaviour of low-pass filter between frequencies 1Hz and 100 kHz, cut-off frequency 1 kHz and transition band 1 kHz has been actively researched through in [2]- [4]. Thus, the performance of proposed evolutionary technique could be evaluated more precise if the evolution target will have exactly the same filter properties.…”

Section: Task Settingmentioning

confidence: 99%

“…The linear circuit representation is used, similar to one that exploited in [4]. That is every element of a circuit is represented as a particular gene, and each of 4 element's features: name of an element, its parameter, and every its pin is represented by particular loci in a gene.…”

Section: Chromosome Representationmentioning

confidence: 99%

“…Evolutionary Algorithm applied towards reconfigurable hardware enables finding a solution among global solution space. The EHW where the ultimate goal is a circuit design is also referred to as Evolutionary Electronics [4]. The Evolutionary Electronics gives an alluring opportunity for an amateur in the field to reach out the same results as professional one, possessing mostly the knowledge of Darwinian's laws and inspiration.…”

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: Previous Work On Analogue Filter Evolutionmentioning

confidence: 99%

Section: Task Settingmentioning

confidence: 99%

Section: Chromosome Representationmentioning

confidence: 99%

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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“…Section V describes ultimate goal is a circuit design is also referred as the experimental results. Section VI compares the obtained Evolutionary Electronics [3]. The Evolutionary Electronics results with the filters evolved previously as well as gives an alluring opportunity for an amateur in the field to designed conventionally.…”

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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Computational Matter: Evolving Computational Functions in Nanoscale Materials

Broersma

Miller

Nichele

2016

Emergence, Complexity and Computation

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Natural evolution has been manipulating the properties of proteins for billions of years. This 'design process' is completely different to conventional human design which assembles well-understood smaller parts in a highly principled way. In evolution-in-materio (EIM), researchers use evolutionary algorithms to define configurations and magnitudes of physical variables (e.g. voltages) which are applied to material systems so that they carry out useful computation. One of the advantages of this is that artificial evolution can exploit physical effects that are either too complex to understand or hitherto unknown. An EU funded project in Unconventional Computation called NASCENCE: Nanoscale Engineering of Novel Computation using Evolution, has the aim to model, understand and exploit the behaviour of evolved configurations of nanosystems (e.g. networks of nanoparticles, carbon nanotubes, liquid crystals) to solve computational problems. The project showed that it is possible to use materials to help find solutions to a number of well-known computational problems (e.g. TSP, Bin-packing, Logic gates, etc.).

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Comparison of different evolutionary methodologies applied to electronic filter design

Cited by 43 publications

References 7 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

Computational Matter: Evolving Computational Functions in Nanoscale Materials

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