Does any case exist where non-random initial population improves the genetic algorithm result?

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In all Genetic Algorithm (GA) examples that I have observed so far, the initial population is generated randomly. However, is there any case where a pre-defined subset of initial population makes an improvement that is unlikely to be achieved by only randomly generated initial population?