rmoo_lrSelection: Linear Rank Selection

In rmoo: Multi-Objective Optimization in R

Linear Rank Selection

Description

Selects individuals from the population using linear rank-based probabilities. Individuals are ranked by their Pareto front, and selection probability is assigned linearly so better-ranked individuals are more likely to be chosen.

Usage

rmoo_lrSelection(object, r, q)

rmoobin_lrSelection(object, r, q)

rmooperm_lrSelection(object, r, q)

rmooreal_lrSelection(object, r, q)

Arguments

object	MOEA object with slots population, fitness, front, popSize.
r	Slope parameter controlling probability spread (computed from popSize if missing).
q	Intercept parameter (computed from popSize if missing).

Value

A list with population and fitness of the selected individuals.

rmoo documentation built on May 4, 2026, 1:06 a.m.