Scilab Function 
    
      cma_optim_restarted -   functional interface to the CMA-ES optimizer 
      with restarts
    
      Calling Sequence
    
    
      - 
        [xopt, f, out, param] = cma_optim_restarted(costf, x0, sigma0, restarts [, param])
  
      
 
    
    
      Parameters
    
    
      - 
        
          costf
        
        see cma_optim()
       
 
      - 
        
          x0
        
        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. 
       
 
      - 
        
          sigma0
        
        see cma_optim()
       
 
      - 
        
          restarts
        
        maximal number of restarts. 
       
 
      - 
        
          param
        
        see cma_optim()
       
 
      - 
        
          xopt
        
        see cma_optim()
       
 
      - 
        
          f
        
        see cma_optim()
       
 
      - 
        
          out
        
        see cma_optim()
       
 
      - 
        
          param
        
        see cma_optim()
       
 
    
    
      Description
    
    
      - 
        
        
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. 
     
       
      - 
        
        
      
 
    
    
      Examples
    
    see cma_optim
    
      See Also
    
    
      
        
           cma_optim
        
      ,  
        
           cma_new
        
      ,  
        
           cma_plot
        
      ,  
        
           optim
        
      ,  
    
      Authors
    
    
      - 
        Nikolaus Hansen
      
 
    
    
      Bibliography
    
    
      Used Function
    
cma_optim()
     ...