Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization

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@Article{Veeramachaneni:2012:GPEM,

• author = "Kalyan Veeramachaneni and Ekaterina Vladislavleva and Una-May O'Reilly",
• title = "Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2012",
• volume = "13",
• number = "1",
• pages = "103--133",
• month = mar,
• note = "Special Section on Evolutionary Algorithms for Data Mining",
• keywords = "genetic algorithms, genetic programming, food, scent, flavor, Symbolic regression, Sensory science, Ensembles, Non-linear optimisation, Variable selection, Pareto, Hedonic evaluation, Complexity control, PSO, bloat",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-011-9153-2",
• size = "31 pages",
• abstract = "Knowledge mining sensory evaluation data is a challenging process due to extreme sparsity of the data, and a large variation in responses from different members (called assessors) of the panel. The main goals of knowledge mining in sensory sciences are understanding the dependency of the perceived liking score on the concentration levels of flavours' ingredients, identifying ingredients that drive liking, segmenting the panel into groups with similar liking preferences and optimising flavors to maximise liking per group. Our approach employs (1) Genetic programming (symbolic regression) and ensemble methods to generate multiple diverse explanations of assessor liking preferences with confidence information; (2) statistical techniques to extrapolate using the produced ensembles to unobserved regions of the flavor space, and segment the assessors into groups which either have the same propensity to like flavors, or are driven by the same ingredients; and (3) two-objective swarm optimization to identify flavors which are well and consistently liked by a selected segment of assessors.",
• affiliation = "CSAIL, MIT, 32 Vassar Street, D-540, Cambridge, MA, USA",

}

Genetic Programming entries for Kalyan Veeramachaneni Ekaterina (Katya) Vladislavleva Una-May O'Reilly

Citations