Routing and scheduling on a shoreline with release times
Management Science
A polynomial approximation scheme for a constrained flow-shop scheduling problem
Mathematics of Operations Research
A heuristic with worst-case analysis for minimax routing of two travelling salesmen on a tree
Discrete Applied Mathematics
(p-1)/(p+1)-approximate algorithms for p-traveling salemen problems on a tree with minmax objective
Discrete Applied Mathematics
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Linear Time Approximation Schemes for Vehicle Scheduling
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
A 5/3-approximation algorithm for scheduling vehicles on a path with release and handling times
Information Processing Letters
Discrete Applied Mathematics
A polynomial approximation scheme for problem F2/rj/Cmax
Operations Research Letters
Minmax subtree cover problem on cacti
Discrete Applied Mathematics
Minmax subtree cover problem on cacti
Discrete Applied Mathematics
Approximating the minmax subtree cover problem in a cactus
ISAAC'04 Proceedings of the 15th international conference on Algorithms and Computation
Improved approximation algorithms for routing shop scheduling
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
Theoretical Computer Science
Hi-index | 5.23 |
In this paper, we consider a scheduling problem of vehicles on a path G with n vertices and n - 1 edges. There are m identical vehicles. Each vertex in G has exactly one job. Any of the n jobs must be processed by some vehicle. Each job has a release time and a handling time. With the edges, symmetric travel times are associated. The problem asks to find an optimal schedule of the m vehicles that minimizes the maximum completion time of all the jobs. The problem is known to be NP-hard for any fixed m ≥ 2. In this paper, we show that the problem with a fixed m admits a polynomial time approximation scheme. Our algorithm can be extended to the case where G is a tree so that a polynomial time approximation scheme is obtained if m and the number of leaves in G are fixed.