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Updated: Oct 10, 2025

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Optimization with delay-induced bifurcations.

Natalia B Janson1, Christopher J Marsden1

  • 1Department of Mathematical Sciences, Loughborough University, Loughborough LE11 3TU, United Kingdom.

Chaos (Woodbury, N.Y.)
|December 9, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel deterministic optimization principle using delay-induced bifurcations in analog devices. This method aims to overcome limitations of digital and quantum computers by preventing confinement to suboptimal solutions.

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Area of Science:

  • Nonlinear Dynamics
  • Computational Optimization
  • Analog Computing

Background:

  • Optimization seeks the global minimum of cost functions, traditionally using digital or quantum computers with inherent limitations.
  • Existing methods like simulated annealing and quantum computing employ noise or tunneling to escape local minima.
  • Non-quantum analog devices offer potential for new optimization approaches but require novel principles.

Purpose of the Study:

  • To propose and investigate a new optimization principle based on delay-induced bifurcations.
  • To explore the potential of analog devices for deterministic optimization.
  • To provide a method for overcoming local minima without relying on noise or quantum effects.

Main Methods:

  • Investigating nonlinear delay-differential equations where the system's dynamics depend on a delayed variable.
  • Utilizing delay-induced bifurcations to destroy local attractors in gradient descent settings.
  • Formulating prerequisites for predictable bifurcation scenarios in dynamical systems.

Main Results:

  • Delay-induced bifurcations can deterministically destroy local attractors, enabling exploration of all minima.
  • Tuning the delay in a gradient descent setting forces the system to wander across potential energy landscape minima.
  • This deterministic approach mimics noise-induced behavior but without randomness.

Conclusions:

  • A novel, deterministic optimization principle is conceived using delay-induced bifurcations.
  • This principle is potentially implementable in non-quantum analog devices.
  • Tuning delay offers a new pathway for robust optimization, avoiding confinement to local minima.