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» Optimal control of epidemic evolution
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FOCS
2007
IEEE
15 years 11 months ago
Approximation Algorithms for Partial-Information Based Stochastic Control with Markovian Rewards
We consider a variant of the classic multi-armed bandit problem (MAB), which we call FEEDBACK MAB, where the reward obtained by playing each of n independent arms varies according...
Sudipto Guha, Kamesh Munagala
GECCO
1999
Springer
111views Optimization» more  GECCO 1999»
15 years 9 months ago
Evolving a behavior-based control architecture- From simulations to the real world
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
Marc Ebner, Andreas Zell
149
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 11 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
143
Voted
ISCAPDCS
2004
15 years 6 months ago
Distributed Algorithms for DCOP: A Graphical-Game-Based Approach
This paper addresses the application of distributed constraint optimization problems (DCOPs) to large-scale dynamic environments. We introduce a decomposition of DCOP into a graph...
Rajiv T. Maheswaran, Jonathan P. Pearce, Milind Ta...
GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
15 years 7 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf