Quantum-Inspired Evolutionary Classification of Driving Sequences in Vehicle Emission Factor Measurement

Pasquale Arpaia, Giovanni Meccariello, Mario Rapone, Antonio Zanesco

Abstract

A heuristic procedure of classification, the quantum-inspired classifier (QIC), exploiting search space exploration and resource exploitation of quantum computing on a software basis is proposed. The application to the problem of speed sequence classification for vehicle emission factor determination based on drive styles is shown. Experimental results are discussed by showing the QIC capability of converging better and faster than classical evolutionary algorithms.

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IMEKO-TC4-2007-155.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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