Selector

Full Name

neuroptimiser.core.processes.Selector

Description

class Selector[source]

Bases: AbstractProcess

Selector Process

This process is designed to select the best position and fitness from the spiking core’s current and new candidate based on a given function.

Inports
x_inInPort

Input port for the position variable.

Variables
pVar

Variable for the position of the agent.

fpVar

Variable for the fitness of the agent.

Outports
p_outOutPort

Output port for the position variable.

fp_outOutPort

Output port for the fitness variable.

See also

neuroptimiser.core.models.PySelectorModel

Model implementation of the Selector process.

__init__(agent_id: int = 0, num_agents: int = 1, num_dimensions: int = 2, function=None, **kwargs)[source]

Initialise the Selector with the given parameters.

Parameters:

  • agent_id (int, optional) – ID of the agent for which the selector is being created. Default is 0.

  • num_agents (int, optional) – Number of agents in the system. Default is 1.

  • num_dimensions (int, optional) – Number of dimensions for the position and fitness variables. Default is 2.

  • function (callable, optional) – Function to be used for evaluating the fitness of the positions. Default is None, which means no function is applied but an error will be raised if not provided.

Keyword Arguments:

**kwargs (dict, optional) – Additional keyword arguments to be passed to the parent class AbstractProcess.

reset() → None[source]

Reset the Selector to its initial state.