The solution space structure of planted constraint satisfaction problems with growing domains
Wei Xu, Zhe Zhang

TL;DR
This paper analyzes the solution space of planted RB constraint satisfaction problems with growing domains, revealing multiple phase transitions that impact problem hardness and providing insights into generating challenging benchmarks.
Contribution
It characterizes the phase transitions in the solution space of planted RB models, offering a detailed phase diagram and experimental validation.
Findings
Four phase transitions identified as constraint density increases
Planted cluster becomes isolated with only one solution after a phase transition
High constraint density instances have a single energy valley, making them easier to solve
Abstract
Planting a solution into the random RB model, which is a prototype of random constraint satisfaction problem (CSP) with growing domains, can generate very hard satisfiable CSP benchmarks. We study the solution space structure of the planted RB model. With constraint density growing, we find that this model goes through four phase transitions. In the replica symmetric phase, what we call the independent phase transition occurs, after which the planted cluster (cluster containing the planted solution) is separated from the giant cluster. Then the solutions except that in the planted cluster go through the same clustering phase transition and the same satisfiability phase transition as the random RB model. The planted cluster goes through the isolated phase transition, after which the planted cluster contains only one solution. This phase diagram provides strong evidence that this model…
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