Module evolution 

Evolution strategy algorithms for global optimization

This module provides population-based optimization algorithms inspired by natural evolution, particularly the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) family.

Algorithms

• CMA-ES: Covariance Matrix Adaptation Evolution Strategy with IPOP restart
• Step-size adaptation (cumulative step-size adaptation / CSA)
• Covariance matrix update (rank-1 and rank-mu updates)
• Population size adaptation
• IPOP-CMA-ES restart strategy (increasing population size)
• Boundary handling (reflection, projection, penalty)

Re-exports

pub use cma_es::cma_es_minimize;

pub use cma_es::BoundaryHandling;

pub use cma_es::CmaEsOptions;

pub use cma_es::CmaEsResult;

pub use cma_es::CmaEsState;

pub use cma_es::IpopCmaEs;

pub use cma_es::RestartStrategy;

Modules

cma_es

Covariance Matrix Adaptation Evolution Strategy (CMA-ES)