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GECCO
2009
Springer

Black-box optimization benchmarking for noiseless function testbed using PSO_bounds

13 years 9 months ago
Black-box optimization benchmarking for noiseless function testbed using PSO_bounds
This paper benchmarks the particle swarm optimizer with adaptive bounds algorithm (PSO Bounds) on the noisefree BBOB 2009 testbed. The algorithm is further augmented with a simple re-initialization mechanism that is invoked if the bounds tend to overlap. 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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