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» An Indirect Genetic Algorithm for Set Covering Problems
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FOCS
2005
IEEE
14 years 1 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
ICST
2010
IEEE
13 years 5 months ago
Repairing GUI Test Suites Using a Genetic Algorithm
—Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be e...
Si Huang, Myra B. Cohen, Atif M. Memon
JAIR
2007
141views more  JAIR 2007»
13 years 7 months ago
Bin Completion Algorithms for Multicontainer Packing, Knapsack, and Covering Problems
Many combinatorial optimization problems such as the bin packing and multiple knapsack problems involve assigning a set of discrete objects to multiple containers. These problems ...
Alex S. Fukunaga, Richard E. Korf
MP
1998
109views more  MP 1998»
13 years 7 months ago
Rounding algorithms for covering problems
In the last 25 years approximation algorithms for discrete optimization problems have been in the center of research in the fields of mathematical programming and computer science...
Dimitris Bertsimas, Rakesh V. Vohra
PR
2008
93views more  PR 2008»
13 years 7 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach