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Tuning Degradation to Achieve Specific and Efficient Protein Depletion
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Tuning and jamming reduced to their minima.

Miguel Ruiz-García1, Andrea J Liu1, Eleni Katifori1

  • 1Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

Physical Review. E
|December 25, 2019
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Summary
This summary is machine-generated.

We smoothed complex cost functions in network tuning and sphere jamming by controlling the order of operations. This approach enhances the success rate of reaching optimal solutions by reducing local minima.

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Area of Science:

  • Complex systems
  • Computational physics
  • Network science

Background:

  • Geometrical frustration complicates optimization in processes like network tuning and sphere jamming.
  • Local minima in cost functions hinder the achievement of global optima.

Purpose of the Study:

  • To develop a method for smoothing complex cost function landscapes.
  • To improve the success rate of reaching global minima in optimization problems.

Main Methods:

  • Inspired by protein folding, we modified cost functions to control the order of tuning or unjamming processes.
  • Applied the method to network tuning and the jamming of ideal spheres.

Main Results:

  • Successfully smoothed cost function landscapes for both network tuning and sphere jamming.
  • Demonstrated that controlling the order of operations mitigates geometrical frustration.
  • Increased the success rate for reaching global minima.

Conclusions:

  • Modifying cost functions based on ordered operations is an effective strategy for optimization.
  • The approach generalizes to different complex systems exhibiting geometrical frustration.
  • This method offers a pathway to more efficient problem-solving in computational and physical systems.