Efficient solutions to some transportation problems with applications to minimizing robot arm travel
SIAM Journal on Computing
Nonpreemptive ensemble motion planning on a tree
Journal of Algorithms
Algorithmic theory of random graphs
Random Structures & Algorithms - Special issue: average-case analysis of algorithms
Routing a vehicle of capacity greater than one
Discrete Applied Mathematics
On the approximability of the traveling salesman problem (extended abstract)
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Approximation algorithms
On-line single-server dial-a-ride problems
Theoretical Computer Science
Euler is standing in line dial-a-ride problems with precedence-constraints
Discrete Applied Mathematics - special issue on the 25th international workshop on graph theoretic concepts in computer science (WG'99)
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
The Art of Computer Programming, 2nd Ed. (Addison-Wesley Series in Computer Science and Information
The Art of Computer Programming, 2nd Ed. (Addison-Wesley Series in Computer Science and Information
On Random Symmetric Travelling Salesman Problems
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
The Finite Capacity Dial-A-Ride Problem
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
A Hard Dial-a-Ride Problem that is Easy on Average
Journal of Scheduling
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Given an edge-weighted transportation network G and a list of transportation requests L, the Stacker Crane Problem is to find a minimum-cost tour for a server along the edges of G that serves all requests. The server has capacity one, and starts and stops at the same vertex. In this paper, we consider the case that the transportation network G is a tree, and that the requests are chosen randomly according to a certain class of probability distributions. We show that a polynomial time algorithm by Frederickson and Guan [J. Algorithms 15 (1993) 29-60], which guarantees a 4/3-approximation in the worst case, on almost all inputs finds a minimum-cost tour, along with a certificate of the optimality of its output.