Class | Description |
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AbstractMGAWeightRouting |
Contains basic function for the Modified genetic algorithm (MGA).
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AbstractMGAWeightRouting.Results |
Contains the best solution vector and cost.
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GradientDescentWeightRouting |
Extends
FiniteGradientDescent in order to implements the function
double, umontreal.iro.lecuyer.ccoptim.util.FiniteGradientDescent.Results) . |
MGA2StagePriorityDelay |
Optimize the priority routing with delay policy, using a two-stage modified genetic algorithm (MGA).
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MGA2StagePriorityDelayMin |
Optimize the priority routing with delay policy, using a two-stage modified genetic algorithm (MGA).
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MGA2StagePriorityMin |
Optimize the priority routing with delay policy.
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MGACovWeightRouting |
Implements the modified genetic algorithm (MGA) to solve the weight routing optimization.
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MGAGenCMu |
Implements the modified genetic algorithm (MGA) to optimize the generalized-cμ policy.
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MGAGenCMu.Results | |
MGAPriority |
Optimize the priority routing policy.
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MGAPriorityDelay |
Optimize the priority routing with delay policy.
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MGAPriorityDelayMin |
This algorithm uses the modified genetic algorithm (MGA)
to optimize the priority routing (priority ranks),
the delays and/or the minimum idle agent thresholds policies.
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MGAPriorityDelayMin.Delays |
Represent the delay parameters.
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MGAPriorityDelayMin.MinIdleAgents |
Represent the minimum idle agent thresholds parameter.
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MGAPriorityDelayMin.PriorityRanks |
Implements the structure to contain the priority rules.
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MGAPriorityDelayMin.Results |
Implements the class to contain a routing solution and the cost associated
with this solution.
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MGAPriorityDelayMin2 |
Optimize the routing policy: priority rules, delays and minimum idle agent thresholds
with a modified genetic algorithm (MGA).
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MGAPriorityMin |
Optimize the priority rules and minimum idle agent thresholds.
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MGAWeightRouting |
Implements a modified genetic algorithm (MGA) to optimize the parameters of
the weight-based routing policy
WeightRouting.WeightRouter . |
MGAWeightRoutingIdleness |
Implements the genetic modified algorithm (MGA) to solve the weight routing with
number of idle agents where there is an additional
matrix coefficient parameter for the number of idle agents.
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MGAWeightRoutingSimple |
Implements the modified genetic algorithm (MGA) for the simplified version of
the weight routing where there is a matrix
for the constant parameters and vectors for the coefficients.
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MGAWeightRoutingThreshold |
Implements the modified genetic algorithm (MGA) to solve the weight routing with
minimum number of idle agent thresholds where there is an additional
matrix for the minimum number of idle agent threshold.
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MGAWeightRoutingVector |
Implements the modified genetic algorithm (MGA) for the simplified version of
the weight routing, where there are 4 vectors of parameters.
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RoutOptWeightRouting |
Optimize all the 3 parameters (constWeightsTG, callCoeffsTG
and groupCoeffsGT) of the weight routing policy using
a gradient descent search method.
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RoutOptWeightRouting.Results |
Represents the class object of the weight routing solution.
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