Abstract
Evolutionary computation methods, such as evolutionary algorithms or swarm intelligence algorithms, have been successfully applied to a wide range of difficult problems. These include classical NP-hard combinatorial optimization problems and a variety of hard real-world optimization problems. Real-world problems, in particular, are difficult to solve using traditional search methods because often they are nonlinear, highly constrained, multiobjective, and can include a number of uncertainties.
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