Probing spin glasses with heuristic optimization algorithms
Olivier C. Martin
TL;DR
This paper reviews the application of heuristic optimization algorithms to spin glasses, discussing their effectiveness, challenges, and open problems in understanding these complex disordered systems.
Contribution
It provides a comprehensive overview of heuristic methods used for spin glasses and highlights unresolved issues and future research directions.
Findings
Heuristic algorithms can effectively explore spin glass energy landscapes.
Open problems include understanding algorithmic performance limits.
Future work aims to improve heuristic methods for complex systems.
Abstract
A sketch of the chapter appearing under the same heading in the book ``New Optimization Algorithms in Physics'' (A.K. Hartmann and H. Rieger, Eds.) is given. After a general introduction to spin glasses, important aspects of heuristic algorithms for tackling these systems are covered. Some open problems that one can hope to resolve in the next few years are then considered.
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Taxonomy
TopicsData Visualization and Analytics · Constraint Satisfaction and Optimization