Algorithms

In EDO, as in EO, an algorithm is a functor that takes one or several solutions to an optimization problem as arguments, and iteratively modify them with the help of operators.It differs from a canonical EO algorithm because it is templatized on a edoDistrib rather than just an EOT. More...

Classes
class	edoAlgo< D >
	An EDO algorithm differs from a canonical EO algorithm because it is templatized on a Distribution rather than just an EOT. More...
class	edoAlgoAdaptive< D >
	A generic stochastic search template for algorithms that need a distribution parameter. More...
class	edoAlgoStateless< D >
	A generic stochastic search template for algorithms that need a distribution parameter but replace it rather than update it. More...
Modules
	CMAES
	CMA-ES (Covariance Matrix Adaptation Evolution Strategy) is a stochastic, derivative-free methods for numerical optimization of non-linear or non-convex continuous optimization problems.
	EMNA
	Estimation of Multivariate Normal Algorithm (EMNA) is a stochastic, derivative-free methods for numerical optimization of non-linear or non-convex continuous optimization problems.

---

Detailed Description

In EDO, as in EO, an algorithm is a functor that takes one or several solutions to an optimization problem as arguments, and iteratively modify them with the help of operators.It differs from a canonical EO algorithm because it is templatized on a edoDistrib rather than just an EOT.

See also:

eoAlgo