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Can someone please explain the difference between Memetic Algorithms and Genetic Algorithms? Is an indivudal's lifetime learning part of memetic algorithms?

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Lets start with definitions:

Genetic Algorithms -> is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution.

Memetic Algorithms -> is an extension of the genetic algorithm, It uses a local search technique to reduce the likelihood of the premature convergence.

There is a paper with the comparison, and to answer your last question yes an individuals lifetime still plays a part memetic algorithms because the objective here is to avoid premature convergence.

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