Automatic Fault Isolation by Cultural Algorithms With Differential Influence

Arpaïa, Pasquale; Lucariello, G.; Zanesco, A.

doi:10.1109/tim.2007.903604

Cited by 16 publications

(9 citation statements)

References 21 publications

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“…As in natural evolution, a lot of useless solutions are created at each generation by the genetic alterations in the effort of finding the most suitable one. In recent soft computing applications, this problem has been faced successfully by cultural algorithms (CAs) [24][25][26][27]: during the evolution, the information on search advance acquired by most promising individuals is shared with the entire population of potential solutions and stored also for next generations. This goal is achieved by means of a dynamic mechanism (belief space) for information selecting (best solution acceptance), processing (knowledge update) and diffusing (evolution influence).…”

Section: (I) Modelingmentioning

confidence: 99%

A cultural evolutionary programming approach to automatic analytical modeling of electrochemical phenomena through impedance spectroscopy

Arpaïa

2009

Meas. Sci. Technol.

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An approach to automatic analytical modeling of electrochemical impedance spectroscopy data by evolutionary programming based on cultural algorithms is proposed. A solution-search strategy based on a cultural mechanism is exploited for defining the equivalent-circuit model automatically: information on search advance is transmitted to all potential solutions, rather than only to a small inheriting subset, such as in a traditional genetic approach. Moreover, with respect to the state of the art, also specific information related to constraints on the application physics knowledge is transferred. Experimental results of the proposed approach implementation in impedance spectroscopy for general-purpose electrochemical circuit analysis and for corrosion monitoring and diagnosing are presented.

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Section: (I) Modelingmentioning

confidence: 99%

A cultural evolutionary programming approach to automatic analytical modeling of electrochemical phenomena through impedance spectroscopy

Arpaïa

2009

Meas. Sci. Technol.

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“…1) identifies each circuit model created by GEPMoC on the input experimental EIS data. The search for best-fit numerical values of circuit components is optimized by a CA [22]. With this aim, for each input circuit, a population of corresponding candidate numerical values is created (circuit parameter space of Fig.…”

Section: A the Gepcamimentioning

confidence: 99%

“…1) extracts characteristics of most promising solution candidates to the modeling problem in order to share them with all the individuals of new generations in the GEPCAMI. With this aim, it is divided into three knowledge domains: (i) situational, (ii) topographical, and (iii) historical [22]. In the situational knowledge domain, the best model found in previous evolution cycles of GEPCAMI is stored.…”

Section: B the Cupbesmentioning

confidence: 99%

“…(ii) each chromosome is compared with the Situational Knowledge homologue chromosome; (iii) if they are equals, the electric component is not changed and is stored in the new individual homologue chromosome of the population, while its parameter value is calculated with a differential evolution technique [22], [23]; (iv) if they are different, the new electrical component and its numerical value are assigned randomly. The update function u s compares the best individual with the current one and, if better, stores it in the domain.…”

Section: B the Cupbesmentioning

confidence: 99%

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Automatic Analytical Modeling of EIS Data by Evolutive Programming Based on Cultural Algorithms

Arpaïa

Clemente²,

Zanesco

2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

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Efficiency and accuracy problems in state-of-the-art analytical modeling of electrochemical phenomena through impedance spectroscopy are faced by a Cultural Hybrid Evolutionary Modeling Algorithm (CHEMA). Automatic model definition is improved by an evolutionary program exploiting a solution-search strategy based on a cultural mechanism: information on search advance is transmitted to all potential solutions, rather than only to a small inheriting subset, such as in traditional genetic approach. Experimental results of the proposed approach application to electrochemical impedance spectroscopy for biomedical purposes are presented.

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“…Cultural mechanism adds further functions in order to identify best search paths [10], [15]- [16]. An accept function select best individuals after a first genetic evolution.…”

Section: B the Proposed Evolutionary Approachmentioning

confidence: 99%

Optimal Design of Wavelet Filters Based on Lifting Scheme by Means of Cultural Algorithms

Arpaïa¹,

Romanucci²,

Zanesco³

2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

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An evolutionary procedure for the optimal design of adaptive wavelet filters based on lifting scheme is proposed. In particular, among state-of-the-art evolutionary techniques, cultural algorithms are exploited for their improved accuracy and efficiency. Numerical results of (i) a comprehensive characterization of the proposed procedure based on statistical experiment design, and (ii) validation based on the comparison with state-of-the-art filters are presented, by referring to an application of impedance spectra filtering.

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Automatic Fault Isolation by Cultural Algorithms With Differential Influence

Cited by 16 publications

References 21 publications

A cultural evolutionary programming approach to automatic analytical modeling of electrochemical phenomena through impedance spectroscopy

A cultural evolutionary programming approach to automatic analytical modeling of electrochemical phenomena through impedance spectroscopy

Automatic Analytical Modeling of EIS Data by Evolutive Programming Based on Cultural Algorithms

Optimal Design of Wavelet Filters Based on Lifting Scheme by Means of Cultural Algorithms

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