Package org.licas.ai_solver.eval

Problem-solving evaluations, to initialise or start the process and perform some actual default evaluation types, including generic object indentification and then related evaluation service.

See: Description

Class Summary

Class	Description
EvaluateGenData	This is the base class for evaluating problem data, more specifically using the genetic algorithms classes, but can be used for other types as well.
EvaluateSolverData	This is an extension to the licas EvaluateData object to allow some other AI-related structures to be included.
Evaluator	This class should be implemented by any evaluation framework, to mediate between the problem-solver and the services that are part of the problem solving process.
EvaluatorCentral	This class should be implemented by any evaluation framework, to mediate between the problem-solver and the services that are part of a central problem solving process.
EvaluatorDistributed	This class should be implemented by any evaluation framework, to mediate between the problem-solver and the services that are part of a distributed problem solving process.
GridEvaluator	This class runs a set of generic tests on the specified hyper-heuristic grid problem model.
KnnEvaluator	This class generates and solves problems using a k nearest neighbour algorithm.
LinkEvaluator	This class runs a set of generic tests on the distributed linking problem model.
SearchEvaluator	This class runs a set of tests on the specified search problem model.
SomEvaluator	This class generates and solves problems using a SOM neural network.

Package org.licas.ai_solver.eval Description

Problem-solving evaluations, to initialise or start the process and perform some actual default evaluation types, including generic object indentification and then related evaluation service.