SwePub
Sök i LIBRIS databas

  Utökad sökning

L773:1524 9050 OR L773:1558 0016
 

Sökning: L773:1524 9050 OR L773:1558 0016 > Heuristics Based Op...

Heuristics Based Optimization for Multidepot Drone Location and Routing Problem to Detect Post-Earthquake Damages

Aydin, N. (författare)
Yilmaz, O. (författare)
Deveci, M. (författare)
visa fler...
Lv, Z. (författare)
visa färre...
Institute of Electrical and Electronics Engineers Inc. 2022
2022
Engelska.
Ingår i: IEEE transactions on intelligent transportation systems (Print). - : Institute of Electrical and Electronics Engineers Inc.. - 1524-9050 .- 1558-0016. ; , s. 1-9
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The aim of this research is to detect the post-disaster damage by drones as soon as possible so that decision makers can assign search and rescue teams effectively and efficiently. The main differences of this research from the others, which use drones in literature, are as: First, the regions are divided into grids and different importance values are assigned according to the number of buildings that are likely to be damaged and are vital for the response stage, such as hospitals, schools, and fire stations. Second, these importance levels are updated based on the day and time, which helps ordering the grids in a more realistic manner. Third, the depots are selected among the pre-determined candidate locations in accordance with the purpose of objective function. Fourth, detection times at grids are considered as uncertain. Fifth, two versions of Ant Colony Optimization (ACO) are developed as alternatives to exact solution tools. Last, sensitivity analyzes are performed by reducing the number of sorties, reducing the number of drones, and comparing day and night importance values for each instance. According to the results, only for very small-scale instances, exact solution tool was able to reach the optimal while both versions of ACO reached to similar results within a very less CPU times. Additionally, these ACO algorithms also found good results for the larger scaled problems. Then the performance of these ACO algorithms and the exact solution method are compared based on the CPU time and solution quality. IEEE

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Geofysik (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Geophysics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Anestesi och intensivvård (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Anesthesiology and Intensive Care (hsv//eng)

Nyckelord

ant colony optimization
Buildings
Drones
Earthquakes
Image resolution
location and routing
Mathematical models
mixed integer linear programming
Path planning
Post-earthquake damage detection
Routing
Aircraft detection
Damage detection
Decision making
Integer programming
Motion planning
CPU time
Earthquake damage detection
Exact solution
Integer Linear Programming
Mixed integer linear
Routings
Location

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Hitta mer i SwePub

Av författaren/redakt...
Aydin, N.
Yilmaz, O.
Deveci, M.
Lv, Z.
Om ämnet
NATURVETENSKAP
NATURVETENSKAP
och Geovetenskap och ...
och Geofysik
NATURVETENSKAP
NATURVETENSKAP
och Data och informa ...
och Människa datorin ...
MEDICIN OCH HÄLSOVETENSKAP
MEDICIN OCH HÄLS ...
och Klinisk medicin
och Anestesi och int ...
Artiklar i publikationen
IEEE transaction ...
Av lärosätet
Uppsala universitet

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy