TY - GEN
T1 - Clustering Local Tourism Systems by Threshold Acceptance
AU - Andria, Joseph
AU - Di Tollo, Giacomo
PY - 2015
Y1 - 2015
N2 - Despite the importance of tourism as a leading industry in the development of a country’s economy, there is a lack of criteria and methodologies for the detection, promotion and governance of localtourism systems. We propose a quantitative approach for the detection of local tourism systems that are optimal with respect to geographical, economic, and demographical criteria. To this end, we formulate the issue as an optimization problem, and we solve it by means of Threshold Acceptance, a meta-heuristic algorithm which does not require us to predefine the number of clusters and also does not require all geographic areas to belong to a cluster.
AB - Despite the importance of tourism as a leading industry in the development of a country’s economy, there is a lack of criteria and methodologies for the detection, promotion and governance of localtourism systems. We propose a quantitative approach for the detection of local tourism systems that are optimal with respect to geographical, economic, and demographical criteria. To this end, we formulate the issue as an optimization problem, and we solve it by means of Threshold Acceptance, a meta-heuristic algorithm which does not require us to predefine the number of clusters and also does not require all geographic areas to belong to a cluster.
UR - http://hdl.handle.net/10447/123232
UR - http://link.springer.com/chapter/10.1007/978-3-319-16549-3_51
M3 - Conference contribution
SN - 978-3-319-16548-6; 978-3-319-16549-3
T3 - LECTURE NOTES IN COMPUTER SCIENCE
SP - 629
EP - 640
BT - Applications of Evolutionary Computation : 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings
ER -