Shuffled shepherd optimization algorithm (SSOA) is a new multi-community algorithm inspired by shepherd behavior. SSOA is an algorithm dependent on its parameters and needs to find the right parameters for each problem to work best. In this paper, SSOA is modified to make it less dependent on parameter tuning. The new version is called parameter-reduced SSOA (PRSSOA) and requires less parameters to be tuned. The results of the SSOA and those of the PRSSOA are compared for some structural optimization design problems indicating the reliability of proposed version.

中文翻译：

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减少参数依赖性的简化混洗牧人优化方法

混洗牧羊犬优化算法（SSOA）是受牧羊犬行为启发的一种新的多社区算法。SSOA是一种取决于其参数的算法，需要为每个问题找到正确的参数以使其发挥最佳效果。在本文中，对SSOA进行了修改，以使其对参数调整的依赖性降低。新版本称为减少参数的SSOA（PRSSOA），需要调整的参数更少。比较了SSOA和PRSSOA的结果，以解决一些结构优化设计问题，这些问题表明了所建议版本的可靠性。