Uses of Interface
be.ac.ulg.montefiore.run.totem.repository.genericheuristics.model.HeuristicSolution

Packages that use HeuristicSolution

be.ac.ulg.montefiore.run.totem.repository.genericheuristics.model	This package holds classes for the model of the genericheuristics package.
be.ac.ulg.montefiore.run.totem.repository.genericheuristics.simulatedAnnealing.model	This package holds the model for the simulated annealing algorithm.
be.ac.ulg.montefiore.run.totem.repository.SAMTE.model

Uses of HeuristicSolution in be.ac.ulg.montefiore.run.totem.repository.genericheuristics.model

Methods in be.ac.ulg.montefiore.run.totem.repository.genericheuristics.model that return HeuristicSolution

HeuristicSolution	HeuristicPopulation.getMax() Get the solution with the maxmimum evaluation
HeuristicSolution	HeuristicPopulation.getMin() Get the solution with the minimum evaluation

Methods in be.ac.ulg.montefiore.run.totem.repository.genericheuristics.model with parameters of type HeuristicSolution

double

ObjectiveFunction.evaluate(HeuristicSolution solution) Evaluate an heuristic solution

Uses of HeuristicSolution in be.ac.ulg.montefiore.run.totem.repository.genericheuristics.simulatedAnnealing.model

Subinterfaces of HeuristicSolution in be.ac.ulg.montefiore.run.totem.repository.genericheuristics.simulatedAnnealing.model

interface

SASolution Define the requirements of a solution needed by the simulated annealing algorithm

Uses of HeuristicSolution in be.ac.ulg.montefiore.run.totem.repository.SAMTE.model

Classes in be.ac.ulg.montefiore.run.totem.repository.SAMTE.model that implement HeuristicSolution

class

SAMTESolution Creation date: 25-Feb-2005 12:20:23

Methods in be.ac.ulg.montefiore.run.totem.repository.SAMTE.model with parameters of type HeuristicSolution

double	SAMTELoadBalancingOF.evaluate(HeuristicSolution solution) Evaluate an heuristic solution
double	SAMTELoadBalancingLimitationOF.evaluate(HeuristicSolution solution) Evaluate an heuristic solution
double	SAMTEMaxLoadOF.evaluate(HeuristicSolution solution) Evaluate an heuristic solution