Psychology Wiki      Evolution strategy      34,076pages on
this wiki        In computer science, evolution strategy (ES,
from German Evolutionsstrategie) is an optimization technique
based on ideas of adaptation and evolution. It belongs to a more
general class of evolutionary computation.      Evolution
strategies primarily use real-vector coding, and mutation,
recombination, and environmental selection as its search
operators. As common with evolutionary algorithms, the operators
are applied in order: Mating selection, recombination, mutation,
fitness function evaluation, and environmental selection.
Performing the loop one time is called a generation, and this is
continued until a termination criterion is met.      The first
ES variants were not population based, but memorized only one
search point (the parent) and one ((1+1)-ES) or more offspring
(1+,lambda)-ES) at a time. Contemporary versions usually employ
a population ((mu+,lambda)-ES) and are thus believed to be less
prone to get stuck in local