Wrong docstrings on CMAParameters constructors

[kielnino]

For the different constructors of CMAParameters the provided docstrings do not describe the actual parameters:

/**
       * \brief Constructor.
       * @param dim problem dimensions
       * @param x0 initial search point
       * @param sigma initial distribution step size (positive, otherwise automatically set)
       * @param lambda number of offsprings sampled at each step
       * @param seed initial random seed, useful for reproducing results (if unspecified, automatically generated from current time)
       * @param gp genotype / phenotype object
       * @param sep whether to use sep-CMA-ES, using diagonal covariance matrix (modifies covariance default learning rate)
       */
      CMAParameters(const int &dim,
		    const double *x0,
		    const double &sigma,
		    const int &lambda=-1,
		    const uint64_t &seed=0,
		    const TGenoPheno &gp=TGenoPheno());
      
      /**
       * \brief Constructor.
       * @param x0 initial search point as vector of problem dimension
       * @param sigma initial distribution step size (positive, otherwise automatically set)
       * @param lambda number of offsprings sampled at each step
       * @param seed initial random seed, useful for reproducing results (if unspecified, automatically generated from current time)
       * @param gp genotype / phenotype object
       * @param sep whether to use sep-CMA-ES, using diagonal covariance matrix (modifies covariance default learning rate)
       */
      CMAParameters(const std::vector<double> &x0,
		    const double &sigma,
		    const int &lambda=-1,
		    const uint64_t &seed=0,
		    const TGenoPheno &gp=TGenoPheno());
      
      /**
       * \brief Constructor.
       * @param x0 initial search point as vector of problem dimension
       * @param sigma vector of initial distribution step sizes (positive, otherwise automatically set)
       * @param lambda number of offsprings sampled at each step
       * @param seed initial random seed, useful for reproducing results (if unspecified, automatically generated from current time)
       * @param gp genotype / phenotype object
       * @param sep whether to use sep-CMA-ES, using diagonal covariance matrix (modifies covariance default learning rate)
       */
      CMAParameters(const std::vector<double> &x0,
		    const std::vector<double> &sigma,
		    const int &lambda=-1,
		    const std::vector<double> &lbounds=std::vector<double>(),
		    const std::vector<double> &ubounds=std::vector<double>(),
		    const uint64_t &seed=0);