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Integrating particle swarm optimization with reinforcement learning in noisy problems
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Authors:
Grigoris S. Piperagkas
University of Ioannina, Ioannina, Greece
George Georgoulas
Teorema Engineering Srl, Trieste, Italy
Konstantinos E. Parsopoulos
University of Ioannina, Ioannina, Greece
Chrysostomos D. Stylios
Technological Educational Institute of Epirus, Arta, Greece
Aristidis C. Likas
University of Ioannina, Ioannina, Greece
2012 Article
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Published in:
· Proceeding
GECCO '12
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference
Pages 65-72
ACM
New York, NY
, USA
©2012
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ISBN: 978-1-4503-1177-9
doi>
10.1145/2330163.2330173
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Tags:
algorithms
budget allocation
experimentation
noisy problems
particle swarm optimization
performance
probabilistic algorithms
reinforcement learning
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