Module rosomaxa::termination

The termination module contains logic which defines termination criteria for metaheuristic, e.g. when to stop evolution in evolutionary algorithms.

Structs

• CompositeTermination
  A trait which encapsulates multiple termination criteria.
• MaxGeneration
  A termination criteria which is in terminated state when maximum amount of generations is exceeded.
• MaxTime
  A termination criteria which is in terminated state when max time elapsed.
• MinVariation
  A termination criteria which calculates coefficient variation in each objective and terminates when min threshold is not reached.
• TargetProximity
  Provides way to set stop algorithm when some close solution is found.

Traits

• Termination
  A trait which specifies criteria when metaheuristic should stop searching for improved solution.