Multi-Agent Remote Predictive Diagnosis of Dangerous Good Transports

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

doi:10.1109/imtc.2005.1604456

Cited by 4 publications

(3 citation statements)

References 27 publications

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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%

“…Thus, each individual is composed by 12 chromosomes. The CA was configured according to literature [10]- [16]: populations size of 500 individuals, GA generations 50, CA generations 20, elite count 1, crossover fraction 60%, and mutation fraction 10 %.…”

Section: B Validationmentioning

confidence: 99%

“…However, on the other hand, they proved to give rise also to an intrinsic resource waste, owing to the memory-less random generation of solutions during the search evolution [9]. Conversely, in recent advances of evolutionary soft-computing [9]- [16], cultural algorithms (CAs) proved better accuracy and efficiency also in industrial applications. This is due mainly to a "cultural" mechanism: i.e., to the capability of sharing information on best search paths inside a new generation also with potential solutions not inheriting it directly in a genetic way.…”

Section: Introductionmentioning

confidence: 99%

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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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“…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%

Section: B Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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