xegaDfInitGene {xegaDfGene}

Initialize a real-coded gene.

Description

xegaDfInitGene generates a random real-coded gene with a given length.

Usage

xegaDfInitGene(lF)

Arguments

lF

Local configuration of the genetic algorithm.

Details

In the real-coded representation of package xegaDf, gene is a list with

1. $evaluated Boolean: TRUE if the fitness is known.

2. $fit The fitness of the genotype of $gene1

3. $gene1 a real vector (the genetopye).

This representation simplifies the implementation af various optimizations and generalizations.

Value

A real-coded gene (a named list):

• $evaluated: FALSE. See package xegaEvalGene.

• $evalFail: FALSE. Set by the error handler(s) in package xegaEvalGene in the case of failure.

• $fit: Fitness.

• $gene1: A vector of reals.

References

Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) The Differential Evolution Algorithm (Chapter 2), pp. 37-134. In: Differential Evolution. A Practical Approach to Global Optimization. Springer, Berlin. <doi:10.1007/3-540-31306-0>

Examples

xegaDfInitGene(lFxegaDfGene)