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Evolutionary algorithm
In
artificial intelligence
, an
evolutionary algorithm
(EA) is a
subset
of
evolutionary computation
, a generic population-based
metaheuristic
optimization
algorithm
. An EA uses mechanisms inspired by
biological evolution
, such as
reproduction
,
mutation
,
recombination
, and
selection
.
Candidate solutions
to the
optimization problem
play the role of individuals in a population, and the
fitness function
determines the quality of the solutions (see also
loss function
).
Evolution
of the population then takes place after the repeated application of the above operators.
Artificial evolution
(AE) describes a process involving individual
evolutionary algorithm
s; EAs are individual components that participate in an AE.
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