JMLR
2010
13 years 8 months ago
2010
Hartigan's method for k-means clustering is the following greedy heuristic: select a point, and optimally reassign it. This paper develops two other formulations of the heuri...
EOR
2002
14 years 1 months ago
2002
In order to solve heterogeneous single and multiple container loading problems, an algorithm is presented that builds homogeneous blocks of identically orientated items. First a g...
IPL
2007
14 years 1 months ago
2007
We consider an integer-subset representation problem motivated by a medical application in radiation therapy. We prove NP-completeness, derive nontrivial bounds, and report on the...
STRINGOLOGY
2004
14 years 3 months ago
2004
We investigate the shortest common superstring problem (SCSSP). As SCSSP is APX-complete it cannot be approximated within an arbitrarily small performance ratio. One heuristic tha...
GECCO
2006
Springer
14 years 5 months ago
2006
Springer
The quadratic multiple knapsack problem extends the quadratic knapsack problem with K knapsacks, each with its own capacity Ck. A greedy heuristic fills the knapsacks one at a tim...
GECCO
2009
Springer
14 years 5 months ago
2009
Springer
In the Weapon-Target Assignment Problem, m enemy targets are inbound, each with a value Vj representing the damage it may do. The defense has n weapons, and the probability that w...
COCOON
2009
Springer
14 years 5 months ago
2009
Springer
Multiple reaction monitoring (MRM) is a mass spectrometric method to quantify a specified set of proteins. In this paper, we identify a problem at the core of MRM peptide quantific...
ICDCS
2000
IEEE
14 years 6 months ago
2000
IEEE
Creating replicas of frequently accessed objects across a read-intensive network can result in large bandwidth savings which, in turn, can lead to reduction in user response time....
GECCO
2004
Springer
14 years 7 months ago
2004
Springer
A rectilinear Steiner arborescence connects points in the Euclidean plane’s first quadrant and the origin with directed rectilinear edges from the origin up and to the right. Th...