4.6 Article

Bio-inspired method for generating self-trapped beams in the nonlinear Schrodinger equation

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PHYSICAL REVIEW A
卷 104, 期 3, 页码 -

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AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.104.033524

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This study introduces a stochastic optimization technique that combines a variational approach with the cuckoo search algorithm to generate diverse self-trapped structures and optimize different families of self-trapped beams simultaneously. This algorithm offers a new method for obtaining self-trapped beams in nonlinear media.
We introduce a stochastic optimization technique to obtain self-trapped beams in the generalized nonlinear Schrodinger equation. The method is based on combining a variational approach with a bio-inspired method: the cuckoo search algorithm that relies on Levy flights. The proposed technique can be easily adapted to generate diverse self-trapped structures in a plethora of nonlinear media. Unlike the standard variational technique and some of the numerical algorithms previously reported, this algorithm allows for the optimization of different families of self-trapped beams concurrently.

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