
doi: 10.1002/net.21469
handle: 11379/164629
AbstractWe consider a rooted tree graph with costs associated with the edges and profits associated with the vertices. Every subtree containing the root incurs the sum of the costs of its edges, and collects the sum of the profits of its nodes; the goal is the simultaneous minimization of the total cost and maximization of the total profit. This problem is related to the TSP with profits on graphs with a tree metric. We analyze the problem from a biobjective point of view. We show that finding all extreme supported efficient points can be done in polynomial time. The problem of finding all efficient points, however, is harder; we propose a practical FPTAS for solving this problem. Some special cases are considered where the particular profit/cost structure or graph topology allows the efficient points to be found in polynomial time. Our results can be extended to more general graphs with distance matrices satisfying the Kalmanson conditions. © 2012 Wiley Periodicals, Inc. NETWORKS, 2013
Combinatorial optimization, Multiobjective combinatorial optimization; Trees; Traveling Salesman Problem with Profits; Kalmanson conditions; Complexity, multiobjective combinatorial optimization, trees, Programming involving graphs or networks, Trees, traveling salesman problem with profits, Kalmanson conditions, complexity, Multi-objective and goal programming
Combinatorial optimization, Multiobjective combinatorial optimization; Trees; Traveling Salesman Problem with Profits; Kalmanson conditions; Complexity, multiobjective combinatorial optimization, trees, Programming involving graphs or networks, Trees, traveling salesman problem with profits, Kalmanson conditions, complexity, Multi-objective and goal programming
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
