The benefit of migration in parallel evolutionary algorithms

Jörg Lässig, Dirk Sudholt · 2010

Parallelization is becoming a more and more important issue for solving difficult optimization problems. Various implementations of parallel evolutionary algorithms (EAs) have been applied in the past decades. Island models combine phases of independent evolution with migration where genetic information is spread out to neighbored islands. Compared to panmictic models, this mechanism can lead to an increased diversity within the population.

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