In a reconfiguration version of an optimization problem the input is an instance of and two feasible solutions and . The objective is to determine whether there exists a step-by-step transformation between and such that all intermediate steps also constitute feasible solutions. In this work, we study the parameterized complexity of the problem (. It was shown in previous work that the \textsc{Dominating Set Reconfiguration} problem () parameterized by , the maximum allowed size of a dominating set in a reconfiguration sequence, is fixed-parameter tractable on all graphs that exclude a biclique as a subgraph, for some constant . We show that the additional connectivity constraint makes the problem much harder, namely, that is -hard parameterized by , the maximum allowed size of a dominating set plus the length of the reconfiguration sequence, already on -degenerate graphs. On the positive side, we show that parameterized by is fixed-parameter tractable, and in fact admits a polynomial kernel on planar graphs.

生成讲解博客的中文版本

生成AI智能校验的中文版本