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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 505-508
Woo Young Kwon , Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
Mingu Kim , Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
Il Hong Suh , Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
ABSTRACT
In this paper, we have proposed a probabilistic tourist trip-planning method considering time-dependent satisfaction and constraints. The satisfaction and constraints are modeled as random variables in the hybrid temporal Bayesian network. Moreover, time-dependent probabilistic relationships among various factors are modeled based on the hybrid temporal Bayesian network, so that conditional probabilities of the satisfaction and constraints can be inferred. To find the best itinerary maximizing the expected satisfaction under probabilistic constraints, a constraint version of genetic algorithms is employed.
INDEX TERMS
Bayes methods, Probabilistic logic, Random variables, Meteorology, Biological cells, Genetic algorithms, Silicon
CITATION

W. Y. Kwon, Mingu Kim and I. H. Suh, "Probabilistic tourist trip-planning with time-dependent human and environmental factors," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 505-508.
doi:10.1109/BIGCOMP.2016.7425980
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