Module rosomaxa::hyper

This module contains a hyper-heuristic logic.

Structs

• DynamicSelective
  An experimental dynamic selective hyper heuristic which selects inner heuristics based on how they work during the search. The selection process is modeled using reinforcement learning technics.
• StaticSelective
  A simple hyper-heuristic which selects metaheuristic from the list with fixed (static) probabilities.

Traits

• HeuristicDiversifyOperator
  A heuristic operator which is supposed to diversify passed solution.
• HeuristicSearchOperator
  A heuristic operator which is supposed to improve passed solution.
• HyperHeuristic
  Represents a hyper heuristic functionality.

Type Aliases

• HeuristicDiversifyGroup
  A collection of heuristic diversify operators.
• HeuristicDiversifyOperators
  A collection of heuristic diversify operators.
• HeuristicProbability
  A type which specifies probability behavior for heuristic selection.
• HeuristicSearchGroup
  A type which specifies a group of multiple heuristic strategies with their probability.
• HeuristicSearchOperators
  A collection of heuristic search operators with their name and initial weight.