Hybrid-class: Hybrid optimization algorithm

In greed: Clustering and Model Selection with the Integrated Classification Likelihood

Hybrid optimization algorithm

Description

An S4 class to represent an hybrid genetic/greedy algorithm (extends Alg-class class).

Usage

Hybrid(pop_size = 20, nb_max_gen = 10, prob_mutation = 0.25, Kmax = 100)

Arguments

pop_size	size of the solutions populations (default to 20)
nb_max_gen	maximal number of generation to produce (default to 10)
prob_mutation	mutation probability (default to 0.25)
Kmax	maximum number of clusters (default to 100)

Value

a Hybrid-class object

Functions

• Hybrid: Hybrid algorithm class constructor

Slots

pop_size

size of the solutions populations (default to 20)

nb_max_gen

maximal number of generation to produce (default to 10)

prob_mutation

mutation probability (default to 0.25)

Kmax

maximum number of clusters (default to 100)

Examples

Hybrid()
Hybrid(pop_size = 100)

greed documentation built on Oct. 4, 2022, 1:06 a.m.