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GECCO
2009
Springer
127views Optimization» more  GECCO 2009»
14 years 8 days ago
BBOB-benchmarking the Rosenbrock's local search algorithm
The restarted Rosenbrock’s optimization algorithm is tested on the BBOB 2009 testbed. The algorithm turned out to be very efficient for functions with simple structure (independ...
Petr Posik
ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 7 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh
ICML
2010
IEEE
13 years 5 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
ANTSW
2010
Springer
13 years 2 months ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...
EMO
2003
Springer
93views Optimization» more  EMO 2003»
14 years 27 days ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...