IBM ILOG Dispatcher User's Manual > Index

Numerics A B C D E F G H I L M N O P Q R S T U V W
Numerics
2-opt neighborhood
A
add visits 1, 2
alternate sites
arc 1, 2
distances between nodes
arc cost 1, 2
array of neighborhoods
B
bays
best accept search 1, 2
breaks
building routes
C
capacitated arc routing problem
capacity 1, 2
constraints on
limited
measuring
setting for vehicle
vehicle
coherence of submodels
compatibility constraints
complex costs
concrete delivery
constrained variable
constraint
compatibility
modeling vehicle break
on capacity
on cumul variable bounds
on late deliveries
on number of vehicles
on vehicle
setting up visit disjunctions
time
visit disjunction
cost 1, 2
arc
calculating routing plan
calculating vehicle
computing on arcs
early and late
fixed
from total length of route
minimizing 1, 2, 3
turn penalty
vehicle fixed 1, 2
visit penalty 1, 2
cost coefficients
cost ratios
cranes
cross neighborhood
csv reader
cumulative variables
current partial route
customer location
alternative
definition
time constraints on
D
decision variable 1, 2
declaring
length
time
weight
decomposition
problem 1, 2, 3
delay variable
delivery and pickup visits
delta
solution
depot
assigning trucks to multiple
definition
multiple
depot docking bays
designing Dispatcher models
destructor
dimension 1, 2
associating constrained variable with
definition
extrinsic
intrinsic
disjoint time window
disjunctions
visits
dispatching technicians 1, 2
distance 1, 2
Euclidean 1, 2
grid pattern
Manhattan
minimize
docking bays
E
earliness
enumeration heuristic
environment
Euclidean distance 1, 2
exchange neighborhood
extrinsic dimension
F
first accept search 1, 2, 3
first solution
generating 1, 2
first solution framework
first solution heuristics
relative complexity
writing
first solution hints
fixed cost
vehicle 1, 2
G
geographical decomposition
GLS
granularity
graph functionality
greedy search
grid pattern distance
guided local search 1, 2
guided local search (gls)
guided tabu search
H
heuristic
construction
enumeration
insertion
nearest addition
nearest-to-depot
savings 1, 2
sweep
I
IlcGoal 1, 2
IloAny type definition
IloBool type definition
IloConcatenate
IloCouple
ILOCPGOALWRAPPER 1, 2
IloCross 1, 2
IloCsvReader
IloDecouple
IloDichotomize
IloDimension
IloDimension1 1, 2, 3
IloDimension2 1, 2
IloDiscreteResource
IloDispatcher 1, 2, 3, 4
getCostVar
getIndex 1, 2
IloDispatcher::RouteIterator
operator*
operator++
IloDispatcherGenerate
IloDispatcherGLS
IloDispatcherGraph 1, 2
IloDispatcherTabuSearch 1, 2
IloDistance
IloEarlinessFunction
IloEnv 1, 2, 3
IloEuclidean
IloExchange 1, 2
IloFPRelocate
ILOG Scheduler
IloGenerateRoute
IloGoal
IloImprove 1, 2
IloInfinity
IloInsertionGenerate 1, 2, 3
IloInsertVisit
IloInstantiateVehicleBreaks
IloInt type definition
IloLimitSearch
IloMakePerformed 1, 2
IloMakePerformedPair
IloMakeUnperformed 1, 2
IloManhattan
IloModel 1, 2, 3, 4
IloNearestAdditionGenerate 1, 2
IloNearestDepotGenerate 1, 2
IloNHood
IloNHoodArray
IloNode 1, 2
IloNum type definition
IloNumToNumSegmentFunction
IloOrderedVisitPair
IloOrOpt 1, 2, 3
IloRelocate 1, 2
IloRestoreSolution 1, 2
IloRoutingSolution 1, 2, 3, 4
getNext
getPrev
isPerformed
IloRoutingSolution::RouteIterator
operator*
operator++
IloSavingsGenerate 1, 2, 3
IloSetTimesForward
IloSimpleVisitToNumFunction
IloSingleMove 1, 2, 3, 4, 5
IloSolution
end
IloSolver 1, 2
IloStoreBestSolution
IloSwapPerform 1, 2
IloSweepGenerate 1, 2
IloTardinessFunction
IloTwoOpt 1, 2, 3
IloVehicle
getCapacity
getCostVar 1, 2
getFirstVisit 1, 2, 3
getLastVisit 1, 2, 3
getSpeed 1, 2
setCapacity
setCost
IloVisit 1, 2, 3, 4
getCumul 1, 2
getCumulVar 1, 2, 3, 4
getDelayVar
getNextVar 1, 2
getPrevVar 1, 2
getTransitVar
getTravelVar
getVehicleVar 1, 2, 3
getWaitVar
performed
IloVisitArray
IloVisitToNumFunction
IloVisitVehicleCompat
improvement loop 1, 2
improving
solution 1, 2
insertion heuristic
insertion of visits
installing Solver
intrinsic dimension
iterative solution process 1, 2, 3
iterative solving
mixed
iterator
L
lateness
limited
capacity
linking library to application
local minimum
escaping
local search 1, 2
loop
improvement 1, 2
M
Manhattan distance
metaheuristic 1, 2
minimize
cost
distance
minimizing number of vehicles
minimizing the number of vehicles
mixed iterative solving
model 1, 2, 3
modeling hints 1, 2
move operators
Multiple Depot Pickup and Delivery Problem
Multiple Depot Vehicle Routing Problem (MDVRP)
improving the solution 1, 2
multiple tours heuristic
multiple tours per vehicle
N
naming
accessors
arguments
Boolean accessors
classes
conventions
data members
instances
member functions
modifiers
nearest addition heuristic
nearest-to-depot heuristic
neighborhood
2-opt
cross
exchange
inter-route 1, 2
intra-route 1, 2
or-opt
relocate
swap
neighborhood array
neighborhoods 1, 2
writing
network, road
next-variable
modifying
node
arc
definition
specifying coordinates
O
operators
move
ordered visit pairs
or-opt neighborhood
P
path constraint
penalty cost
associating with visit
visit
personal computer (pc)
linking Solver library on
Pickup and Delivery Problem (PDP)
pickup and delivery visits
problem decomposition 1, 2, 3
problem size
Q
quantities
R
relocate neighborhood
remove visit 1, 2
resources
restore solution
road network
route
building
building a set of
current partial
definition
routing
routing plan
calculating total cost
cost variable
routing problem
multiple depots
routing solution 1, 2
S
savings heuristic 1, 2
search
best accept 1, 2
first accept 1, 2
greedy
guided local
guided tabu
tabu
search method
guided local search (gls)
local 1, 2
shortest path 1, 2, 3
simplify the model
skill levels
skills
solution
degrading current
improving 1, 2
improving with degrading moves
iterative 1, 2, 3
restore
routing 1, 2
solution delta
speed
vehicle
submodel
TSP
submodel coherence
subproblems
swap array
visits
swap neighborhood
sweep heuristic
synchronization 1, 2, 3, 4, 5, 6, 7
T
tabu list
tabu search
aspiration criterion
tardiness
taxi dispatching
technicians
dispatching 1, 2, 3
temporal decomposition 1, 2
time
time constraints
time window 1, 2, 3
disjoint
implementing constraint on
setting for visit
softening
tour
multiple
TSP submodel
turn
turn penalty cost
two-phase approach
types in Solver
U
UNIX
linking Solver library on
unperformed visits 1, 2
V
variable
constrained
cost
cumulative
decision 1, 2
delay 1, 2
prev-
transit
travel
vehicle
wait
vehicle
and capacity constraints
calculating total cost
cost variable
definition
end-visit
fixed cost
implementing breaks on
implementing deadlines on
limit on number available
multiple tours
setting capacity
start-visit
vehicle break 1, 2
changing value of wait and cumul variables
definition
duration 1, 2
implementing
interrupting customer visit
position
start time 1, 2
vehicle breaks
vehicle capacity
vehicle fixed cost 1, 2
Vehicle Routing Problem (VRP) 1, 2
vehicle speed
vehicles
minimizing number of 1, 2
visit
add
associating penalty cost
creating disjunctions
creating node
cumul variable
definition
delay variable
identifier
inserting
interrupting with vehicle break
penalty cost
performed
performing in route
pickup and delivery
prev-variable
remove
transit variable
travel variable
unperformed 1, 2, 3
vehicle variable
wait variable
visit array
visit disjunction constraint
visit disjunctions
visit pairs
visit penalty cost 1, 2
visit swap array
W
weight
writing a first solution heuristic

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