Quantum-Inspired Evolutionary Classification of Driving Sequences in Vehicle Emission Factor Measurement |
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| 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.
- Download:
- IMEKO-TC4-2007-155.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2007
- Title:
- XVth IMEKO TC4 International Symposium on Novelties in Electrical Measurements and Instrumentation (together with 12th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Iasi, ROMANIA
- Time:
- 19 September 2007 - 21 September 2007