anchor.diff:    parameter defines the value of the variable. The standard deviation for the
     normal probability law.
   
  -| storage-type
  -| string
  -| Change the solution storage policy for the optimizer mode.
  -
  -* `one` (default): stores only the best solution found.
  -* `bound`: stores the best and the bad solution found.
  -* `five`: stores the best five solution found.
  -
   | init-kappa-improve-start (optimizer only)
   | real
   | [0-1] The start value of kappa for the improve mode.
   
  -| init_kappa_improve_increase (optimizer only)
  +| init-kappa-improve-increase (optimizer only)
   | real
   | [0-1] The start value of kappa for the improve mode.
   
  -| init_kappa_improve_stop (optimizer only)
  +| init-kappa-improve-stop (optimizer only)
   | real
   | [init-kappa-improve-start - 1.0] The stop value of kappa for the improve mode. When the optimizer kappa exceeds this value, a new crossover and mutation will run. If `init_kappa_improve_stop` equals `init-kappa-improve-start` then improving is disabled.
   
  
positive.code: baryonyx-0.5 -o file.lp
  ....
  
  To run baryonyx into the heuristic model (i.e. trying to valid all
  constraints and optimize the solution), add a `-o` or `--optimize`
  option to the command line:
  
  
negative.code:   uses the `init-policy` algorithm to initialize `X_i`, 0 means use a toss
    up to choose 0 or 1 according to the `init-random` value.
  
  | init-population-size (optimizer only)
  | integer
  | [25-+oo] Defines the size of the population for the evolutionary algorithm.
  
  | init-crossover-bastert-insertion (optimizer only)
  | real
  | [0-1] Probability to insert a bastert solution during the crossover
  