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A novel state-of-the-art optimization strategy, named support and defense strategy, is proposed to enhance the research ability for the social network search algorithm. In the improved social network search algorithm (ISNSA), the support and defense strategy (SDS) is used to improve the conversation and disputation efficiency. The SDS can improve the correlation between the supporters and opponents in the ISNSA. The research ability of the ISNSA is verified with three constrained engineering problems. The optimization results show that the ISNSA is a competitive algorithm, which can obtain the global optimal solution.