TY  - JOUR
T1  - Hierarchical Community-Fuzzy Ant Based Dynamic Routing on Large Road Networks
AU - Geetha, M. AU - Nawaz, G.M. Kadhar 
JO  - Research Journal of Applied Sciences
VL  - 8
IS  - 1
SP  - 65
EP  - 71
PY  - 2013
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2013.65.71
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2013.65.71
KW  - Hierarchical community structure
KW  -dynamic parameters
KW  -fuzzy logic
KW  -ant colony system
KW  -India
AB  - Route selection plays a very important role in road networks. 
  It is a major problem for city travelers. This study proposes a hierarchical 
  community mining system which helps to model road network statically and introduces 
  a dynamic technique for fast route planning in large road networks. The foundation 
  of this dynamic method is a new approach that generalizes and combines fuzzy 
  logic for local pheromone updating of an ant colony system in the detection 
  of optimum multi parameter direction between two desired points, origin and 
  destination. The hierarchical community based routing algorithm significantly 
  reduces the search space. Researchers then propose a new Hierarchical Community 
  Mining-Fuzzy Logic-Ant Colony System that supports dynamic efficient route computation 
  on large road networks.
ER  -