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The development of initial population generation strategy was briefly reviewed. In order to realize the efficient evolution design of customization products, a reasonable model and algorithm was proposed to produce the superior population. Characteristics of the superior population for customized products were discussed. The two remarkable features were that elite individuals should have the similarity of customized requirements and initial genes should be diverse. Based on product gene model, historical product design cases with similar custom genome were obtained by using the angle cosine as clustering statistic, and these cases were used as the initial solution for superior population. Elite individual candidate queue was established by sampling the initial solution members with equal weighted Minkowski distance to achieve uniform population distribution. Difference between the elite individuals genome and the current initial gene library was measured by Jaccard distance. Allele threshold matrix was defined and a diversity allele generation algorithm was built to achieve the diversity of initial population genes. The product fitness evaluation function was established and the dominance of the initial population could be improved according to the feedback result of the evaluation function. The strategy and method were effective in an instance of the product called bridge crane. The experimental results showed that the differentiation of individual queues and the control of multiple gene thresholds could help to avoid premature convergence and obtain high fitness solutions, the proposed approach could take into account both the evolutionary efficiency and the evolutionary quality and increase the success rate of evolution. The strategy was suitable for customized product evolutionary design.