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arXiv · 1709.09840

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

Yinyan Zhang·Pei Zhang·Shuai Li
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Abstract

Bio-inspired algorithms such as neural network algorithms and genetic 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 present an algorithm called the porcellio scaber algorithm (PSA) for solving general unconstrained optimization problems, including differentiable and non-differential ones as well as the case with local optima. Numerical results based on benchmark problems are presented to validate the efficacy of PSA.

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Yinyan Zhang, Pei Zhang, Shuai Li. 2017-09-28. PSA: A novel optimization algorithm based on survival rules of porcellio scaber. https://arxiv.org/abs/1709.09840

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