Uses of Interface
com.aoindustries.aoserv.cluster.optimize.HeuristicFunction

Packages that use HeuristicFunction

Package	Description
com.aoindustries.aoserv.cluster.optimize

Uses of HeuristicFunction in com.aoindustries.aoserv.cluster.optimize

Classes in com.aoindustries.aoserv.cluster.optimize that implement HeuristicFunction

Modifier and Type	Class	Description
class	ExponentialDeviationHeuristicFunction	Adds up all the non-optimal states of the analyzed cluster giving more weight to higher level problems.
class	ExponentialDeviationWithNoneHeuristicFunction	Adds up all the non-optimal states of the analyzed cluster giving more weight to higher level problems.
class	ExponentialHeuristicFunction	Adds up all the non-optimal states of the analyzed cluster giving more weight to higher level problems.
class	LeastInformedHeuristicFunction	This simply returns g if the cluster is optimal or g+1 if it is optimal.
class	LinearHeuristicFunction	Adds up all the non-optimal states of the analyzed cluster giving more weight to higher level problems.
class	RandomHeuristicFunction	This simply returns a random number between 0 and 1.
class	SimpleHeuristicFunction	Simply counts the non-optimal nodes, adds g to prefer shorter paths.

Methods in com.aoindustries.aoserv.cluster.optimize that return HeuristicFunction

Modifier and Type	Method	Description
HeuristicFunction	ClusterOptimizer.getHeuristicFunction()	Gets the heuristic function used during the search.

Constructors in com.aoindustries.aoserv.cluster.optimize with parameters of type HeuristicFunction

Modifier	Constructor	Description
	ClusterOptimizer(ClusterConfiguration clusterConfiguration, HeuristicFunction heuristicFunction, boolean allowPathThroughCritical, boolean randomizeChildren)	Creates a new cluster optimizer for the given configuration and heuristic.