cmaEsParams: Set parameters of CMA-ES optimization
In andrewsali/Rlibcmaes: An R Wrapper to the State-of-the-Art Libcmaes C++ Library

Description Usage Arguments

Set parameters of CMA-ES optimization

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cmaEsParams(cmaAlgorithm = cmaEsAlgo()$CMAES_DEFAULT, sigma = NULL,
  xtol = 1e-12, ftol = 1e-12, lambda = NULL, maxEvals = 10000L,
  trace = 100, quiet = FALSE, seed = 0)

`cmaAlgorithm`	Specifies the type of CMA search. See the source of `cmaEsAlgo` for possible options.
`sigma`	Standard deviation of initial guess. If not provided, default values is guessed from bounds.
`xtol`	Stopping tolerance based on change in parameter values
`ftol`	Stopping tolerance based on function value
`lambda`	Initial population size. Increase from default values if more 'global' solution is wanted. Note some strategies automatically do this (IPOP)
`maxEvals`	Maximum number of function evaluations
`trace`	Every trace iteration will be printed
`quiet`	Should diagnostic messages be printed?
`seed`	The seed of the random number generation for reproducibility. If set to 0, then a random seed is chosen (based on current time).