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FOCS
2005
IEEE
15 years 7 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...
EMO
2001
Springer
107views Optimization» more  EMO 2001»
15 years 5 months ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
CORR
2008
Springer
126views Education» more  CORR 2008»
15 years 1 months ago
Path following algorithm for the graph matching problem
We propose a convex-concave programming approach for the labeled weighted graph matching problem. The convex-concave programming formulation is obtained by rewriting the weighted ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
AIPS
2007
15 years 3 months ago
The Manpower Allocation Problem with Time Windows and Job-Teaming Constraints
The Manpower Allocation Problem with Time Windows, Job-Teaming Constraints and a limited number of teams (mMAPTWTC) is a crew scheduling problem faced in several different context...
Anders Dohn, Esben Kolind, Jens Clausen
IJCGA
2010
155views more  IJCGA 2010»
14 years 12 months ago
Competitive Complexity of Mobile Robot on-Line Motion Planning Problems
This paper is concerned with on-line problems where a mobile robot of size D has to achieve a task in an unknown planar environment whose geometry is acquired by the robot during ...
Yoav Gabriely, Elon Rimon