bbo.control {bbo} | R Documentation |
Allow the user to set some characteristics of the
Biogeography-based optimization algorithm implemented
in bbo
.
bbo.control(pModify = 1, pMutate = 0.3, KEEP = 5, popSize = 20, maxGen = 20, numVar = 2, orderDep = TRUE)
pModify |
habitat modification probability, between 0 and 1; default = 1 |
pMutate |
mutation probability; default = 0.3 |
KEEP |
elitism parameter: how many of the best habitats to keep from one generation to the next; default = 5 |
popSize |
population size (i.e., number of candidate solutions for every generation) default = 20. Kindly make sure that |
maxGen |
number of generations; default = 20 |
numVar |
number of variables in each population member (i.e., problem dimension); default = 2 |
orderDep |
TRUE/FALSE; whether order of the parameters of the habitat is to be maintained; default = TRUE |
Control parameters for the bbo
Returns a list with all the BBO algorithm parameters set
For package bbo: Sarvesh Nikumbh<snikumbh@mpi-inf.mpg.de> Maintainer: Sarvesh Nikumbh<snikumbh@mpi-inf.mpg.de>
For BBO method: Prof. D. Simon, Cleveland State University, Ohio.
D. Simon, "Biogeography-Based Optimization", IEEE Transactions on Evolutionary Computation, vol. 12, no. 6, pp. 702-713, December 2008.
bbo.control
for control arguments
ct <- bbo.control(pMutate = 0.4, popSize = 50, KEEP = 10, maxGen = 50, numVar = 2)