On Minimum Changeover Cost Arborescences

We are given a digraph G = (N,A), where each arc is colored with one among k given colors. We look for a spanning arborescence T of G rooted (wlog) at node 1 and having minimum changeover cost. We call this the Minimum Changeover Cost Arborescence problem. To the authors' knowledge, it is a new problem. The concept of changeover costs is similar to the one, already considered in the literature, of reload costs, but the latter depend also on the amount of commodity flowing in the arcs and through the nodes, whereas this is not the case for the changeover costs. Here, given any node j ≠1, if a is the color of the single arc entering node j in arborescence T, and b is the color of an arc (if any) leaving node j, then these two arcs contribute to the total changeover cost of T by the quantity dab, an entry of a k-dimensional square matrix D. We first prove that our problem is NPO-complete and very hard to approximate. Then we present Integer Programming formulations together with a combinatorial lower bound, a greedy heuristic and an exact solution approach. Finally, we report extensive computational results and exhibit a set of challenging instances.

[1]  Hans-Christoph Wirth,et al.  Reload cost problems: minimum diameter spanning tree , 2001, Discret. Appl. Math..

[2]  Peter Jonsson,et al.  Near-Optimal Nonapproximability Results for Some NPO PB-Complete Problems , 1998, Inf. Process. Lett..

[3]  Viggo Kann,et al.  Polynomially Bounded Minimization Problems That Are Hard to Approximate , 1993, Nord. J. Comput..

[4]  E. Lawler The Quadratic Assignment Problem , 1963 .

[5]  Alberto Caprara,et al.  Constrained 0-1 quadratic programming: Basic approaches and extensions , 2008, Eur. J. Oper. Res..

[6]  Alexander Schrijver,et al.  Combinatorial optimization. Polyhedra and efficiency. , 2003 .

[7]  Giorgio Gambosi,et al.  Complexity and Approximation , 1999, Springer Berlin Heidelberg.

[8]  Robert E. Tarjan,et al.  Efficient algorithms for finding minimum spanning trees in undirected and directed graphs , 1986, Comb..

[9]  Giorgio Gambosi,et al.  Complexity and approximation: combinatorial optimization problems and their approximability properties , 1999 .

[10]  Marcus Oswald,et al.  Speeding up IP-based algorithms for constrained quadratic 0–1 optimization , 2010, Math. Program..

[11]  Jérôme Monnot,et al.  The Minimum Reload s-tPath/Trail/Walk Problems , 2009, SOFSEM.

[12]  Peter Bro Miltersen,et al.  SOFSEM 2009: Theory and Practice of Computer Science, 35th Conference on Current Trends in Theory and Practice of Computer Science, Spindleruv Mlýn, Czech Republic, January 24-30, 2009. Proceedings , 2009, SOFSEM.

[13]  Jérôme Monnot,et al.  The minimum reload s-t path, trail and walk problems , 2010, Discret. Appl. Math..

[14]  Giulia Galbiati The complexity of a minimum reload cost diameter problem , 2008, Discret. Appl. Math..

[15]  James B. Orlin,et al.  A faster algorithm for finding the minimum cut in a graph , 1992, SODA '92.

[16]  Ran Raz,et al.  A sub-constant error-probability low-degree test, and a sub-constant error-probability PCP characterization of NP , 1997, STOC '97.

[17]  S. Raghavan,et al.  Reload cost trees and network design , 2012, Networks.

[18]  Francesco Maffioli,et al.  On minimum reload cost paths, tours, and flows , 2011, Networks.