Class: Population

Class to hold the population of members.
The class also implements methods to generate the initial population and sort the members based on their costs.
Built on the Pydantic BaseModel.

Attributes

  • optimization_params, type: GeneticAlgorithmParams
  • ga_params, type: PositiveInt
  • values, type: np.ndarray = None
  • costs, type: np.ndarray = None)

Class Methods

  • get_unique_designs

    • Retrieves the unique designs from the population based on their costs.
    • Returns:
      • A list containing:
        • unique_members (ndarray), unique population members corresponding to unique_costs.
        • uniqie_costs (ndarray)

  • get_effective_properties

    • Calculates the effective properties for each member in the population.
    • Returns:
      • all_effective_properties (ndarray)

  • set_random_values

    • Sets random values for the properties of each member in the population.
    • Args:
      • lower_bounds (ndarray, optional)
      • upper_bounds (ndarray, optional)
      • start_member (int, optional): index of the first member to update in the population
      • indices_elastic_moduli (list, optional): ensures proper ordering.
    • Returns:
      • self (Population)

  • set_costs

    • Calculates the costs for each member in the population.
    • Returns:
      • self (Population)

  • set_order_by_costs

    • Reorders the population based on the sorted indices of costs.
    • Args: sorted_indices (ndarray)
    • Returns:
      • self (Population)

  • sort_costs

    • Sorts the costs and returns the sorted values along with their corresponding indices.
    • Returns:
      • A list containing two arrays:
        • sorted costs (ndarray)
        • sorted_indices (ndarray), indices that would sort the original self.costs.