Memetic algorithms (MA) represent one of the recent growing areas of research in evolutionary computation.
The term MA is now widely used as a synergy of evolutionary or any
population-based approach with separate individual learning or local
improvement procedures for problem search. Quite often, MA are also
referred to in the literature as Baldwinian evolutionary algorithms (EA), Lamarckian EAs, cultural algorithms, or genetic local search.