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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Engineering and Optimization of Quasi-Nondiffracting Helicon-Like Beams With an Evolutionary Algorithm.

Bryce Schroeder1,2, Zhen H Zhu1, Changliang Guo1

  • 1Department of Biomedical Engineering, Stony Brook University, State University of New York, Stony Brook, NY 11794 USA.

IEEE Photonics Journal
|August 24, 2018
PubMed
Summary

Researchers developed an evolutionary algorithm to optimize optical beams, creating quasi-nondiffracting, self-accelerating beams with confined profiles for advanced applications.

Keywords:
Light propagationbiophotonics instrumentationfluorescence microscopyoptimization metaheuristicspoint-spread function (PSF) engineeringwavefront shaping

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Area of Science:

  • Optics and Photonics
  • Computational Physics

Background:

  • Nondiffracting beams resist intensity profile changes during propagation, enabling diverse scientific applications.
  • The nonlocalized nature of these beams limits practical uses, necessitating profile optimization strategies.

Purpose of the Study:

  • To introduce an evolutionary algorithmic framework for optical beam engineering.
  • To experimentally realize quasi-nondiffracting, radially self-accelerating beams using this framework.

Main Methods:

  • Development of an evolutionary algorithmic framework for beam optimization.
  • Experimental validation in a high-resolution imaging system.
  • Realization of a side-lobe-suppressed helicon-like beam.

Main Results:

  • Demonstration of an optimized beam that largely maintains radial self-acceleration and non-diffraction properties in 3D space.
  • Successful experimental validation of the evolutionary algorithmic framework.
  • Creation of a tightly confined beam profile with suppressed side lobes.

Conclusions:

  • The evolutionary algorithmic framework offers a novel approach for optical beam engineering.
  • This method can be extended to optimize various types of optical beams for diverse applications.