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Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
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