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SIAMJO
2008
72views more  SIAMJO 2008»
13 years 8 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
JCDL
2006
ACM
172views Education» more  JCDL 2006»
14 years 2 months ago
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
Illhoi Yoo, Xiaohua Hu
CLOUDCOM
2010
Springer
13 years 6 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
DISOPT
2008
93views more  DISOPT 2008»
13 years 8 months ago
Exploiting planarity in separation routines for the symmetric traveling salesman problem
At present, the most successful approach to solving large-scale instances of the Symmetric Traveling Salesman Problem to optimality is branch-and-cut. The success of branch-and-cu...
Adam N. Letchford, Nicholas A. Pearson
KCAP
2003
ACM
14 years 1 months ago
Using transformations to improve semantic matching
Many AI tasks require determining whether two knowledge representations encode the same knowledge. Solving this matching problem is hard because representations may encode the sam...
Peter Z. Yeh, Bruce W. Porter, Ken Barker