Title
Approximating precedence-constrained single machine scheduling by coloring
Abstract
This paper investigates the relationship between the dimension theory of partial orders and the problem of scheduling precedence-constrained jobs on a single machine to minimize the weighted completion time. Surprisingly, we show that the vertex cover graph associated to the scheduling problem is exactly the graph of incomparable pairs defined in dimension theory. This equivalence gives new insights on the structure of the problem and allows us to benefit from known results in dimension theory. In particular, the vertex cover graph associated to the scheduling problem can be colored efficiently with at most k colors whenever the associated poset admits a polynomial time computable k-realizer. Based on this approach, we derive new and better approximation algorithms for special classes of precedence constraints, including convex bipartite and semi-orders, for which we give $(1+\frac{1}{3})$-approximation algorithms. Our technique also generalizes to a richer class of posets obtained by lexicographic sum.
Year
DOI
Venue
2006
10.1007/11830924_4
Lecture Notes in Computer Science
Keywords
Field
DocType
vertex cover graph,dimension theory,associated poset,precedence-constrained single machine scheduling,approximation algorithm,convex bipartite,polynomial time computable k-realizer,new insight,weighted completion time,better approximation algorithm,scheduling problem,combinatorial optimization,col,vertex graph,scheduling,partial order,vertex cover,constrained optimization,lexicography,polynomial time,graph theory,partial ordering
Graph theory,Discrete mathematics,Approximation algorithm,Single-machine scheduling,Combinatorics,Vertex (graph theory),Edge cover,Bipartite graph,Vertex cover,Feedback vertex set,Mathematics
Conference
Volume
ISSN
ISBN
4110
0302-9743
3-540-38044-2
Citations 
PageRank 
References 
7
0.51
18
Authors
3
Name
Order
Citations
PageRank
Christoph Ambühl135718.50
Monaldo Mastrolilli251439.27
Ola Svensson334936.31