@inbook{2381, abstract = {{Metric facility location and K-means are well-known problems of combinatorial optimization. Both admit a fairly simple heuristic called single-swap, which adds, drops or swaps open facilities until it reaches a local optimum. For both problems, it is known that this algorithm produces a solution that is at most a constant factor worse than the respective global optimum. In this paper, we show that single-swap applied to the weighted metric uncapacitated facility location and weighted discrete K-means problem is tightly PLS-complete and hence has exponential worst-case running time.}}, author = {{Brauer, Sascha}}, booktitle = {{Lecture Notes in Computer Science}}, editor = {{Fotakis, Dimitris and Pagourtzis, Aris and Paschos, Vangelis Th.}}, isbn = {{9783319575858}}, issn = {{0302-9743}}, location = {{Athens, Greece}}, pages = {{116--127}}, publisher = {{Springer International Publishing}}, title = {{{Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems}}}, doi = {{10.1007/978-3-319-57586-5_11}}, volume = {{10236}}, year = {{2017}}, }