![](data:image/png;base64,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)
662
amountofsuchoptionsaretoolargetobetestedone
after another. A traveling salesman problem is a
routing problem associated with preferably strong
restrictions.Differentroutingproblememergeswhen
itcantogofromonepointtoanotherpointorafew
points, and choose the best track
with the at the
lowestestimatelength,periodorcostofmanyoptions
toreachthedesiredpoint.Suchacyclicroutenetwork
problem easily can be solved by job sequencing. A
networkisdefinedasaseriesofpointsornodesthat
areinterconnectedbylinks.Onewaytogo
fromone
node to another is called a path. The problem of
sequencingmayhaveputsomerestrictionsonit,such
astimeforeachjoboneachmachine,theavailability
ofresources(people,equipment,materialsandspace),
etc.insequencingproblem,theefficiencywithrespect
to a minimumbe measured
costs, maximize profits,
andtheelapsedtimeisminimized.Thegraphimage
andtheexampleofcostsofbordersaregiven inthe
figure1.Inthishypotheticalideathetractnetworkis
illustratedbyagraph.Presentedgraphisgivenwith
an ordered pair G: = (V, E) comprising
a set V of
vertices or nodes together with a set E of edges
(paths),whichconnecttwonodes.Thetaskistoreach
the N1node fromN3 node inthe graphat smallest
cost.(Neumann,2016)
2 PATHFINDINGALGORITHMS
A path finding algorithm for transit network is
proposed to
handle the special characteristics of
transitnetworkssuchascityemergencyhandlingand
drive guiding system, in where the optimal paths
have to be found. As the traffic condition among a
citychangesfromtimetotimeandthereareusuallya
huge amounts of requests occur at any moment,
it
needs to quickly find the best path. Therefore, the
efficiency of the algorithm is very important . The
algorithm takes into account the overall level of
servicesandservicescheduleonaroutetodetermine
the shortest path and transfer points. There are
several methods for pathfinding: In Dijkstraʹs
algorithm the input of the algorithm consists of a
weighted directedgraphG and asource vertexes in
Graph.Let‘sdenotethesetofallverticesinthegraph
GasV.Eachedgeofthegraphisanorderedpairof
vertices(u,v)representingaconnectionfromvertex
u
tovertexv.ThesetofalledgesisdenotedE.Weights
ofedges aregiven bya weightfunction w:E → [0,
∞]; therefore w (u, v) is the non‐negative cost of
movingfromvertexutovertexv.Thecostofanedge
canbe
thoughtofasthedistancebetweenthosetwo
vertices.Thecostofapathbetweentwoverticesisthe
sumofcostsoftheedges inthatpath.Foragivenpair
ofverticessandtinV,thealgorithmfindsthepath
fromstotwithlowestcost
(i.e.theshortestpath).It
can also be used for finding costs of shortest paths
fromasinglevertexstoallotherverticesinthegraph
(BoominathanandKanchan,2014).
An ordered pair of sets G = (V, E) where V is a
nonempty finite set and E consisting
of 2‐element
subsets of elements of V is called a graph. It is
denotedbyG=(V,E).Viscalledvertexandedgeset
respectively. The elements in V and E are called
vertices and edgesrespectively. If elements of E are
ordered pairs, then G is called
a directed graph or
digraph. The vertices between which an edge exists
are called endpoints of the edge. An edge whose
endpoints are the same is called a loop. A graph
withoutloopsiscalledasimplegraph.
2.1 Dijkstraʹsalgorithm
For a given source vertex (node) in the
graph, the
algorithm finds the path with lowest cost (ie the
shortest path) between that vertex and every other
vertex.Itcanalsobeusedforfindingtheshortestcost
path from one vertex to a destination vertex by
stoppingthealgorithmisdeterminedbytheshortest
path to the destination
node. For example, if the
vertices of the graph represent the city and are the
costs ofrunning pathsedge distances betweenpairs
of cities connected directly to the road, Dijkstraʹs
algorithm can be used to find the shortest route
betweenonecityandallothercities.Asa
result,the
shortest path algorithm is widely used routing
protocols in a network, in particular the IS‐IS and
OpenShortestPathFirst.(Neumann,2014)
ShortcharacteristicofDijsktraalgorithm[2].
Theinputofthealgorithmconsistsofaweighted
directedgraphGandasourcevertexsinG
DenoteVasthesetofallverticesinthegraphG.
Each edge of the graph is an ordered pair of
vertices(u,v)
This representing a connection from vertex u to
vertexv
ThesetofalledgesisdenotedE
Weights of edges aregiven by a weight function
w:E → [0,∞)
Therefore w(u,v) is the cost of moving directly
fromvertexutovertexv
The cost of an edge can be thought of as (a
generalizationof)thedistancebetweenthosetwo
vertices
Thecostofapathbetweentwoverticesisthesum
ofcostsoftheedgesinthatpath
For a given pair of vertices s and t in V, the
algorithm finds the path from s to t with lowest
cost(i.e.theshortestpath)
It can also be used for finding costs of shortest
pathsfromasinglevertexstoallotherverticesin
thegraph.
Figure1.Dijkstrasalgorithmontreegraph
3 FUZZYNUMBERSANDPOSSIBILITYTHEORY
Incasewhenthereisneedtomodeluncertaintythat
originatesinindistinguishability,vaguesetc.itisnot
suitable to use statistical approaches and alternative
approachesisnecessary(GhateeandHashemi,2009).