(ES) A kind of evolutionary algorithm where individuals
(potential solutions) are encoded by a set of real-valued
"object variables" (the individual's "genome"). For each
object variable an individual also has a "strategy variable"
which determines the degree of mutation to be applied to the
corresponding object variable. The strategy variables also
mutate, allowing the rate of mutation of the object variables
to vary.
An ES is characterised by the population size, the
number of offspring produced in each generation and whether
the new population is selected from parents and offspring or
only from the offspring.
ES were invented in 1963 by Ingo Rechenberg, Hans-Paul
Schwefel at the Technical University of Berlin (TUB) while
searching for the optimal shapes of bodies in a flow.
