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Memorias de investigación
Communications at congresses:
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
Year:2010
Research Areas
  • Artificial intelligence
Information
Abstract
In this paper, a hybrid algorithm based on the Multiple Offspring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combination of multiple metaheuristics in a hybrid algorithm capable of dynamically adjusting the participation of each of the composing algorithms. The experimental results show a good performance on functions with moderate noise. However, on functions with severe noise the results deteriorate, which suggests that further research should be conducted to find more adequate control mechanisms for these types of functions.
International
Si
Congress
GECCO 2010
960
Place
Reviewers
Si
ISBN/ISSN
978-1-4503-0073-5
Start Date
07/07/2010
End Date
11/07/2010
From page
1725
To page
1730
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
Participants
  • Autor: Antonio Latorre De la Fuente (UPM)
  • Autor: Santiago Muelas Pascual (UPM)
  • Autor: Jose Maria Peña Sanchez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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