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FOCS
2005
IEEE
15 years 4 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...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 2 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
CSCLP
2007
Springer
15 years 4 months ago
Preference-Based Problem Solving for Constraint Programming
Abstract. Combinatorial problems such as scheduling, resource allocation, and configuration have many attributes that can be subject of user preferences. Traditional optimization ...
Ulrich Junker
DISOPT
2008
89views more  DISOPT 2008»
14 years 10 months ago
A pricing problem under Monge property
We study a pricing problem where buyers with non-uniform demand purchase one of many items. Each buyer has a known benefit for each item and purchases the item that gives the larg...
Oktay Günlük
GECCO
2004
Springer
284views Optimization» more  GECCO 2004»
15 years 4 months ago
Lagrange Multiplier Method for Multi-campaign Assignment Problem
It is crucial to maximize marketing efficiency and customer satisfaction in personalized marketing. In this paper, we raise the multiple recommendation problem which occurs when pe...
Yong-Hyuk Kim, Byung Ro Moon