PSA: A novel optimization algorithm based on survival rules of porcellio scaber

28 Sep 2017 Yinyan Zhang Shuai Li

Bio-inspired algorithms have received a significant amount of attention in both academic and engineering societies. In this paper, based on the observation of two major survival rules of a species of woodlice, i.e., porcellio scaber, we design and propose an algorithm called the porcellio scaber algorithm (PSA) for solving optimization problems, including differentiable and non-differential ones as well as the case with local optimums... (read more)

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