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GECCO
2009
Springer

Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid

9 years 7 months ago
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and further enhanced with correlation-triggered adaptive variance scaling. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where GECCO
Authors Mohammed El-Abd, Mohamed S. Kamel
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