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Evolutionary algorithms (EAs) are an effective paradigm for solving many types of optimization problems. They are flexible and can be adapted to new problem classes with little effort. EAs apply operators on the elements of a population. When multiple operators are involved, their distribution is based on fixed probabilities. EAs therefore can not react on changes during an optimization which often...