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Symmetry Breaking for Voting Mechanisms.

Preethi Sankineni1, Andrew M Sutton2

  • 1Department of Computer Science, University of Minnesota Duluth, Duluth, MN, USA sanki002@d.umn.edu.

Evolutionary Computation
|April 6, 2023
PubMed
Summary

A new symmetry-breaking technique enhances a majority vote algorithm to solve complex optimization problems with spin-flip symmetry. This method overcomes limitations in solving certain combinatorial optimization and satisfiability problems.

Keywords:
Runtime analysiscrossoversymmetry breaking

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Area of Science:

  • Theoretical Computer Science
  • Combinatorial Optimization
  • Algorithm Design

Background:

  • Introduced a simple majority vote technique (Rowe & Aishwaryaprajna, 2019) for efficiently solving problems like Jump and OneMax.
  • Identified spin-flip symmetry (invariance to complementation) as a pathological condition for this algorithm.
  • Recognized that many significant combinatorial optimization problems exhibit spin-flip symmetry.

Purpose of the Study:

  • To analyze the limitations of the majority vote technique when faced with spin-flip symmetric functions.
  • To introduce a novel symmetry-breaking technique to enhance the algorithm's performance on such problems.
  • To establish conditions under which the enhanced algorithm can successfully solve spin-flip symmetric functions.

Main Methods:

  • Proved that the original majority vote technique fails for spin-flip symmetric functions of unitation across all population sizes.
  • Developed a symmetry-breaking modification to the majority vote algorithm, forcing sampling on an n-1 hyperplane.
  • Analyzed the algorithm's efficiency on generalized TwoMax, spin-flip symmetric Jump variants, and constructed SAT/XOR-SAT formulas.

Main Results:

  • Demonstrated the ineffectiveness of the standard majority vote technique on spin-flip symmetric functions.
  • Established a sufficient condition for the success of the symmetry-breaking voting algorithm.
  • Showcased the enhanced algorithm's efficiency on several spin-flip symmetric problem instances, while noting failure on the 1D Ising model.

Conclusions:

  • The simple majority vote technique is fundamentally limited by spin-flip symmetry in combinatorial optimization.
  • The proposed symmetry-breaking technique effectively overcomes these limitations for many problem classes.
  • Further research is needed for spin-flip symmetric problems like the one-dimensional Ising model.