Polarith AI
1.7
Polarith.AI.Criteria Namespace Reference

Description

Collection of interfaces and abstract classes which form the foundation of a working multi-criteria optimization pipeline.

Classes

class  ConstraintSolver
 Used for solving multicriteria optimization (MCO) problems by implementing the epsilon constraint method. More...
 
class  Context
 Builds the very foundation for all AI computations related to the multicriteria optimization (MCO) pipeline (implementation as abstract base class). More...
 
class  CriteriaBehaviour
 Used for writing and modifying objective values of a specified Problem<T> (implementation as abstract base class). More...
 
class  Decision
 Holds the results of the solved Problem<T> (implementation as base class). More...
 
interface  IBehaviour
 Used for writing and modifying objective values of a specified IProblem<T> (interface). More...
 
interface  IContext
 Builds the very foundation for all AI computations related to the multi-criteria optimization (MCO) pipeline (interface). More...
 
interface  IDecision
 Holds the results of the solved IProblem<T> (interface). More...
 
interface  IProblem
 Represents the multicriteria optimization (MCO) problem solved by the AI system(interface). More...
 
interface  IReceptor
 Represents one sensorial element used to form an ISensor<T> (interface). More...
 
interface  ISensor
 Represents the sensorial system of an agent (interface). More...
 
interface  ISolver
 Used for solving multicriteria optimization (MCO) problems (interface). More...
 
class  Problem
 Represents the multicriteria optimization (MCO) problem solved by the AI system (implementation as base class). More...
 
class  Receptor
 Represents one sensorial element used to form an Sensor<T> (implementation as base class). More...
 
class  Sensor
 Represents the sensorial system of an agent (implementation as abstract base class). More...
 
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