A functional interface to the CMA-ES optimizer with restarts
[xopt, f, out, param] = cma_optim_restarted(costf, x0, sigma0, restarts [, param])
see cma_optim()
the initial solution point, see cma_optim(). When the initial point is chosen randomly, e.g. rand(10,1), consider using a string, i.e. 'rand(10,1)', which is evaluated for each restart anew.
see cma_optim()
maximal number of restarts.
see cma_optim()
see cma_optim()
see cma_optim()
see cma_optim()
see cma_optim()
Calls the function cma_optim several times with increasing population size parameter opt.lambda. For each restart the population size lambda is increased by a factor of two. No further restarts are conducted when the target fitness or the maximum number of function evaluation maxfunevals was reached.
cma_optim()
...