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Electrochemical Multi-Sensors Device Coupled with Heurisic or Meta-Heuristic Selection Algorithms for Single-Cultivar Oilive Oil Classification

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Apply heuristic and meta-heuristic variable selection algorithms. Best Approach? To reduce the number of sensors included in a linear discriminant analysis (LDA) model, avoiding the use of redundant information and multicollinearity problems To classify EVOOs according to cultivar and crop year. The Practical Aim: Improving the discrimination of EVOOs that are highly appreciated and an important componente of the Mediterranean diet, being prone to frauds involving mislabelling and adulteration.

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Peres, António M.; Veloso, Ana C.A.; Pereira, J.A.; Dias, L.G. (2014). Electrochemical Multi-Sensors Device Coupled with Heurisic or Meta-Heuristic Selection Algorithms for Single-Cultivar Oilive Oil Classification. In Eurosensors 2014 - The 28th European Conference on Solid-State Transducres. Brecia, Itália

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University of Brescia and National Research Council

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