pygrenade_vx.network.PlacementAlgorithmEvolutionary

class pygrenade_vx.network.PlacementAlgorithmEvolutionary

Bases: _pygrenade_vx_network.PlacementAlgorithm

__init__(*args, **kwargs)

Overloaded function.

__init__(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary) -> None
__init__(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary, run_parameters: grenade::vx::network::abstract::EvolutionaryParameters) -> None

Methods

`__init__`(args, *kwargs)	Overloaded function.
`clone`(self)	Clone the algorithm.
`get_best_in_pops`(self)
`get_final_result`(self)
`reset`(self)	Reset all members of the algorithm.
`run`(self, coordinate_system, neuron, resources)

clone(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary) → _pygrenade_vx_network.PlacementAlgorithm: Clone the algorithm. Only clones the initial configuration not the current state of the algorithm. New algorithm is in state as after reset(). Since PlacementAlgorithm is the abstract base class the algorithm is passed as a pointer. This allows to pass the algorithm polymorphically to functions.

get_best_in_pops(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary) → list[_pygrenade_vx_network.CoordinateSystem]

get_final_result(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary) → _pygrenade_vx_network.AlgorithmResult

reset(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary) → None: Reset all members of the algorithm. Used during testing.

run(self: _pygrenade_vx_network.PlacementAlgorithmEvolutionary, coordinate_system: _pygrenade_vx_network.CoordinateSystem, neuron: _pygrenade_vx_network.Neuron, resources: _pygrenade_vx_network.ResourceManager) → _pygrenade_vx_network.AlgorithmResult