anchor.diff:  * `optimistic-solve`: found a solution for each (or or `init-policy-random`
     rate) constraints. For soft constraints, affect one to the maximum variables
     that valid the constraint.
  -* `cycle` (default): Only for the optimization mode, start with the
  -  `pessimistic-solve` mode and change to `bastert` then `pessimistic-solve`
  -  mode. The change between mode is done if and only if three times,
  -  optimization fails to improve the current best solution.
  -
  -| init-policy-random
  -| real
  -| [0-1] (default, 0.5) parameter of the bernoulli's law to be used in conjunction with the `init-policy` parameter. If the law returns 1, it 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-random
  -| real
  -| [0-1] (default, 0.5) parameter _p_ of the bernoulli's law used when 0 occurs with the `init-policy-random`.
  +
  +| init-policy-random (solver only)
  +| real
  +| [0-1] (default, 0.5) parameter of the bernoulli's law to be used in
  +  conjunction with the `init-policy` parameter. If the law returns 1, it
  +  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-crossover-bastert-insertion (optimizer only)
  +| real
  +| [0-1] Probability to insert a bastert solution during the crossover
  +  operation.
  +
  +| init-crossover-solution-selection-mean (optimizer only)
  +| real
  +| [0-1] Probability to select a solution to do the crossover operation. This
  +  parameter allows the selection of solution in the population. 0 means best
  +  solution, 1 means the worst in mean.
  +
  +| init-crossover-solution-selection-stddev (optimizer only)
  +| real
  +| [0-1] Probability to select a solution to do the crossover operation. This
  +  parameter allows the selection of solution in the population. The standard
  +  deviation for the normal probability law.
  +
  +| init-mutation-variable-mean (optimizer only)
  +| real
  +| [0-1] Probability to mutate the solution after the crossover operation. This
  +  parameter defines the number of variables to change. The mean for the normal
  +  probability law.
  +
  +| init-mutation-variable-stddev (optimizer only)
  +| real
  +| [0-1] Probability to mutate the solution after the crossover operation. This
  +  parameter defines the number of variables to change. The standard deviatation
  +  for the normal probability law.
  +
  +| init-mutation-value-mean (optimizer only)
  +| real
  +| [0-1] Probability to mutate the solution after the crossover operation. This
  +  parameter defines the value of the variable. The mean for the normal
  +  probability law.
  +
  +| init-mutation-value-stddev (optimizer only)
  +| real
  +| [0-1] Probability to mutate the solution after the crossover operation. This
  +  parameter defines the value of the variable. The standard deviation for the
  +  normal probability law.
   
   | storage-type
   | string
  
positive.code: option to the command line:
  
  ....
  baryonyx-0.4 -o file.lp
  ....
  
  To run baryonyx into the heuristic model (i.e. trying to valid all
  
negative.code: git submodule update --init --recursive
  ....
  
  Default, Baryonyx provides a shared library `libbaryonyx-0.5.so` (with
  hidden symbol), a static library `libbaryonyx-0.5.a` (all symbols are
  public) and an executable `baryonyx-0.5`. To compile and install in
  the default CMake install directory:
  
  ....
  