Evolution Strategies
Evolution Strategies (ES) are optimization technique based on ideas of adaptation and evolution. In this sense they are similar to GA, but here the main search procedure is a smart mutation operator.
1P1-ES is the single-objective (1+1)-Evolution Strategy performing robust local optimization with accelerated step-size control. It is a very fast evolutionary algorithm, and it is robust even with slightly noisy functions and in presence of discontinuities.
DES stands for Derandomized Evolution Strategy: it is a robust local search procedure that works with a fast deterministic (derandomized) adaptation of the multivariate mutation distribution. It is a fast single-objective optimizer in continuous search space.
MMES stands for Multi-membered Multiobjective Evolution Strategy: it allows to exploit the full power of global optimization using ES. It supports multiobjective Pareto optimization, and can deal with discrete and continuous variables.