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Demonstrates improved solution quality in sparse Ising optimization, suggesting enhanced algorithm effectiveness.
This repository contains the preprint “Cosm: Collective Switched Motion for Sparse Ising Optimization.” The paper introduces Collective Switched Motion (Cosm), a heuristic algorithm for large-scale sparse Ising-type optimization problems. Cosm combines locally interacting continuous circular variables and non-smooth interactions with global coordination rules that facilitate collective dynamics. It employs a time-varying interaction network that switches periodically, along with a type of selective, correlated perturbation. Benchmark experiments on large bounded-degree Gset instances and planted-solution optimization problems demonstrate substantial improvements in time-to-target and solution quality relative to previously reported results.
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Zick et al. (2026) studied this question.
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