Reconfiguration Using Generalized Token Jumping
Jan Maty\'a\v{s} K\v{r}i\v{s}\v{t}an, Jakub Svoboda

TL;DR
This paper introduces generalized reconfiguration rules for graph solutions, providing minimal rules for reconfiguring solutions like Vertex Cover, Independent Set, and Dominating Set, along with algorithms and complexity results.
Contribution
It defines minimal reconfiguration rules parameterized by move size and distance, and offers algorithms and complexity analyses for these rules across multiple graph problems.
Findings
Minimal reconfiguration rules for various problems identified
Efficient algorithms provided for reconfiguration sequences
Complexity results established for different reconfiguration scenarios
Abstract
In reconfiguration, we are given two solutions to a graph problem, such as Vertex Cover or Dominating Set, with each solu tion represented by a placement of tokens on vertices of the graph. Our task is to reconfigure one into the other using small steps while ensuring the intermediate configurations of tokens are also valid solutions. The two commonly studied settings are Token Jumping and Token Sliding, which allows moving a single token to an arbitrary or an adjacent vertex, respectively. We introduce new rules that generalize Token Jumping, parameterized by the number of tokens allowed to move at once and by the maximum distance of each move. Our main contribution is identifying minimal rules that allow reconfiguring any possible given solution into any other for Independent Set, Vertex Cover, and Dominating Set. For each minimal rule, we also provide an efficient algorithm that…
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Taxonomy
TopicsEmbedded Systems Design Techniques · Interconnection Networks and Systems · Cellular Automata and Applications
