TY - GEN
T1 - Evacuation through clustering techniques
AU - Vogiatzis, Chrysafis
AU - Walteros, Jose L.
AU - Pardalos, Panos M.
PY - 2013
Y1 - 2013
N2 - Evacuation and disaster management is of the essence for any advanced society. Ensuring the welfare and well-being of the citizens even in times of immense distress is of utmost importance. Especially in coastal areas where tropical storms and hurricanes pose a threat on a yearly basis, evacuation planning and management is vital. However, modern metropolitan city evacuations prove to be large-scale optimization problems which cannot be tackled in a timely manner with the computational power available. We propose a clustering technique to divide the problem into smaller and easier subproblems and present numerical results that prove our success.
AB - Evacuation and disaster management is of the essence for any advanced society. Ensuring the welfare and well-being of the citizens even in times of immense distress is of utmost importance. Especially in coastal areas where tropical storms and hurricanes pose a threat on a yearly basis, evacuation planning and management is vital. However, modern metropolitan city evacuations prove to be large-scale optimization problems which cannot be tackled in a timely manner with the computational power available. We propose a clustering technique to divide the problem into smaller and easier subproblems and present numerical results that prove our success.
KW - Decomposition by clustering technique
KW - Evacuation and disaster management
KW - Large-scale optimization problems
UR - http://www.scopus.com/inward/record.url?scp=84883321461&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883321461&partnerID=8YFLogxK
U2 - 10.1007/978-1-4614-5574-5_10
DO - 10.1007/978-1-4614-5574-5_10
M3 - Conference contribution
AN - SCOPUS:84883321461
SN - 9781461455738
T3 - Springer Proceedings in Mathematics and Statistics
SP - 185
EP - 198
BT - Models, Algorithms,and Technologies for Network Analysis
PB - Springer
ER -