natPsoCtrl: R6 class that defines the PSO controller
In dbnR: Dynamic Bayesian Network Learning and Inference

natPsoCtrl

R Documentation

R6 class that defines the PSO controller

Description

Constructor of the 'natPsoCtrl' class

If the names of the nodes have "_t_0" appended at the end, remove it

Initialize the particles for the algorithm to random positions and velocities.

Arguments

`n_it`	maximum number of iterations of the pso algorithm
`in_cte`	parameter that varies the effect of the inertia
`gb_cte`	parameter that varies the effect of the global best
`lb_cte`	parameter that varies the effect of the local best
`r_probs`	vector that defines the range of random variation of gb_cte and lb_cte
`cte`	boolean that defines whether the parameters remain constant or vary as the execution progresses
`nodes`	a vector with the names of the nodes
`ordering`	a vector with the names of the nodes in t_0
`max_size`	maximum number of timeslices of the DBN
`n_inds`	number of particles that the algorithm will simultaneously process
`v_probs`	vector that defines the random velocity initialization probabilities
`p`	parameter of the truncated geometric distribution for sampling edges
`score`	bnlearn score function used

Details

The controller will encapsulate the particles and run the algorithm. This time, it extends the class "PsoCtrl" in the "structure_learning_psoho.R" file, because both controllers are practically the same. The particles, positions and velocities are too different to extend one another though.