cmaCalcFitness: Calculate the fitness of a population.
In rCMA: R-to-Java Interface for 'CMA-ES'

View source: R/rCMA.R

cmaCalcFitness

R Documentation

Calculate the fitness of a population.

Description

The population is usually obtained by cmaSamplePopulation.

Usage

cmaCalcFitness(cma, popR, fitFunc)

Arguments

`cma`	CMA-ES Java object, already initialized with `cmaInit`
`popR`	a (`dimension x popSize`) matrix from `cmaSamplePopulation`
`fitFunc`	a function to be minimized. Signature: accepts a vector `x`, returns a `double`.

Value

fitness, a vector of length cmaGetPopulationSize(cma) with the fitness of each individuum

Author(s)

Wolfgang Konen, FHK, 2013

Examples

cma <- cmaNew();
   cmaInit(cma,dimension=2,initialX=1.5);
   popR <- cmaSamplePopulation(cma);
   fitFunc <- function(x) {sum(x*x)};
   fitness <- cmaCalcFitness(cma,popR,fitFunc);
   cmaUpdateDistribution(cma,fitness);

rCMA documentation built on June 24, 2022, 5:06 p.m.