TY - INPR
A1 - Turner, Lara
T1 - Variants of the Shortest Path Problem
T2 - Variants of the Shortest Path Problem
N2 - The shortest path problem in which the \((s,t)\)-paths \(P\) of a given digraph \(G =(V,E)\) are compared with respect to the sum of their edge costs is one of the best known problems in combinatorial optimization. The paper is concerned with a number of variations of this problem having different objective functions like bottleneck, balanced, minimum deviation, algebraic sum, \(k\)-sum and \(k\)-max objectives, \((k_1, k_2)-max, (k_1, k_2)\)-balanced and several types of trimmed-mean objectives. We give a survey on existing algorithms and propose a general model for those problems not yet treated in literature. The latter is based on the solution of resource constrained shortest path problems with equality constraints which can be solved in pseudo-polynomial time if the given graph is acyclic and the number of resources is fixed. In our setting, however, these problems can be solved in strongly polynomial time. Combining this with known results on \(k\)-sum and \(k\)-max optimization for general combinatorial problems, we obtain strongly polynomial algorithms for a variety of path problems on acyclic and general digraphs.
T3 - Report in Wirtschaftsmathematik (WIMA Report) - 140
KW - Shortest path problem
KW - universal objective function
KW - resource constrained shortest path problem
KW - strongly polynomial-time algorithm
Y1 - 2011
UR - https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/2713
UR - https://nbn-resolving.org/urn:nbn:de:hbz:386-kluedo-27139
ER -