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» Solving Demodulation as an Optimization Problem
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CP
2011
Springer
14 years 4 months ago
Algorithm Selection and Scheduling
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, ...

Publication
341views
17 years 3 months ago
Incentive Compatible Mechanisms for Decentralized Supply Chain Formation
In this thesis, we describe a decentralized supply chain formation problem where the supply chain planner or a central design authority (CDA) is faced with the decision of choosi...
Nikesh Kumar Srivastava
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 11 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 3 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 11 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu