Swapping colored tokens on graphs

We investigate the computational complexity of the following problem. We are given a graph in which each vertex has an initial and a target color. Each pair of adjacent vertices can swap their current colors. Our goal is to perform the minimum number of swaps so that the current and target colors agree at each vertex. When the colors are chosen from { 1, 2, …, c }, we call this problem c -Colored Token Swapping since the current color of a vertex can be seen as a colored token placed on the vertex. We show that c -Colored Token Swapping is NP-complete for c = 3 even if input graphs are restricted to connected planar bipartite graphs of maximum degree 3. We then show that 2-Colored Token Swapping can be solved in polynomial time for general graphs and in linear time for trees. Besides, we show that, the problem for complete graphs is fixed-parameter tractable when parameterized by the number of colors, while it is known to be NP-complete when the number of colors is unbounded.

Authors

• Katsuhisa Yamanaka
• Takashi Horiyama Hokkaido University
• J. Mark Keil
• David Kirkpatrick
• Yota Otachi Nagoya University
• Toshiki Saitoh
• Ryuhei Uehara
• Yushi Uno

Keywords

• Computational complexity
• NP-completeness
• Fixed-parameter algorithm
• Token swapping
• Colored token swapping