Spiral optimization algorithm

The spiral shares the global (blue) and intensive (red) behavior

In mathematics, the spiral optimization (SPO) algorithm is a metaheuristic inspired by spiral phenomena in nature.

The first SPO algorithm was proposed for two-dimensional unconstrained optimization[1] based on two-dimensional spiral models. This was extended to n-dimensional problems by generalizing the two-dimensional spiral model to an n-dimensional spiral model.[2] There are effective settings for the SPO algorithm: the periodic descent direction setting[3] and the convergence setting.[4]

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