pg.evolution.recombinators.Segmented

Accessible via pg.evolution.recombinators.Segmented.

class Segmented(cutting_points)

Bases: pg.evolution.recombinators.SegmentWise

Segmented crossover.

Instead of using a predefined cutting strategy, the segmented recombinator allows the user to customize how the cutting points should be chosen, which can be used to implement fixed cutting point strategies (e.g nodes + edges) as well as decision points’ based cutting point strategies.

Example:

# A fixed single-point crossover at the mid of the chrosome:
pg.evolution.Segmented(lambda xs: [len(xs) / 2])

# A dynamic multi-point crossover based on hints.
pg.evolution.Segmented(lambda xs: [x.hints == 'block_end' for x in xs])

Methods:

cutting_indices(independent_decision_points, ...)

Returns the indices of cutting points for a list decision points.

cutting_indices(independent_decision_points, global_state, step)

Returns the indices of cutting points for a list decision points.

Return type:

List[int]